Tyndall Centre Inproceedings
2021
Vrain, Emilie; Wilson, Charlie
Social Influence in the Adoption of Digital Consumer Innovations to Mitigate Climate Change Inproceedings
In: Zhu, Xianli; Dias, Gabriela Prata (Ed.): Conference Proceedings - BEHAVE 2020-2021: the 6th European Conference on Behaviour Change for Energy Efficiency, pp. 85–88, 2021.
@inproceedings{9cf2d6dfd0c844899fb7ea6c012c96b6,
title = {Social Influence in the Adoption of Digital Consumer Innovations to Mitigate Climate Change},
author = {Emilie Vrain and Charlie Wilson},
editor = {Xianli Zhu and Gabriela Prata Dias},
year = {2021},
date = {2021-06-01},
booktitle = {Conference Proceedings - BEHAVE 2020-2021: the 6th European Conference on Behaviour Change for Energy Efficiency},
pages = {85--88},
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2020
Edo-Osagie, Oduwa; Iglesia, Beatriz De La; Lake, Iain; Edeghere, Obaghe
An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis Inproceedings
In: Cal, Enrique Antonio; Flecha, José Ramón Villar; Quintián, Héctor; Corchado, Emilio (Ed.): Hybrid Artificial Intelligent Systems, pp. 160–171, Springer, Germany, 2020, ISBN: 978-3-030-61705-9.
@inproceedings{7b9b694e198e4be4926906e1868d6fe1,
title = {An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis},
author = {Oduwa Edo-Osagie and Beatriz De La Iglesia and Iain Lake and Obaghe Edeghere},
editor = {Enrique Antonio Cal and José Ramón Villar Flecha and Héctor Quintián and Emilio Corchado},
doi = {10.1007/978-3-030-61705-9_14},
isbn = {978-3-030-61705-9},
year = {2020},
date = {2020-11-04},
booktitle = {Hybrid Artificial Intelligent Systems},
pages = {160--171},
publisher = {Springer},
address = {Germany},
series = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
abstract = {In this paper, we propose an approach to intelligent and automatic keyword selection for the purpose of Twitter data collection and analysis. The proposed approach makes use of a combination of deep learning and evolutionary computing. As some context for application, we present the proposed algorithm using the case study of public health surveillance over Twitter, which is a field with a lot of interest. We also describe an optimization objective function particular to the keyword selection problem, as well as metrics for evaluating Twitter keywords, namely: reach and tweet retreival power, on top of traditional metrics such as precision. In our experiments, our evolutionary computing approach achieved a tweet retreival power of 0.55, compared to 0.35 achieved by the baseline human approach.},
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In this paper, we propose an approach to intelligent and automatic keyword selection for the purpose of Twitter data collection and analysis. The proposed approach makes use of a combination of deep learning and evolutionary computing. As some context for application, we present the proposed algorithm using the case study of public health surveillance over Twitter, which is a field with a lot of interest. We also describe an optimization objective function particular to the keyword selection problem, as well as metrics for evaluating Twitter keywords, namely: reach and tweet retreival power, on top of traditional metrics such as precision. In our experiments, our evolutionary computing approach achieved a tweet retreival power of 0.55, compared to 0.35 achieved by the baseline human approach.
Alahamade, Wedad; Lake, Iain; Reeves, Claire E.; Iglesia, Beatriz De La
Clustering Imputation for Air Pollution Data Inproceedings
In: Cal, Enrique Antonio; Flecha, José Ramón Villar; Quintián, Héctor; Corchado, Emilio (Ed.): Hybrid Artificial Intelligent Systems, pp. 585–597, Springer, Germany, 2020, ISBN: 978-3-030-61705-9.
@inproceedings{4c35d4275646498b85196b2120b7dbc4,
title = {Clustering Imputation for Air Pollution Data},
author = {Wedad Alahamade and Iain Lake and Claire E. Reeves and Beatriz De La Iglesia},
editor = {Enrique Antonio Cal and José Ramón Villar Flecha and Héctor Quintián and Emilio Corchado},
doi = {10.1007/978-3-030-61705-9_48},
isbn = {978-3-030-61705-9},
year = {2020},
date = {2020-11-04},
booktitle = {Hybrid Artificial Intelligent Systems},
pages = {585--597},
publisher = {Springer},
address = {Germany},
series = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
abstract = {Air pollution is a global problem. The assessment of air pollution concentration data is important for evaluating human exposure and the associated risk to health. Unfortunately, air pollution monitoring stations often have periods of missing data or do not measure all pollutants. In this study, we experiment with different approaches to estimate the whole time series for a missing pollutant at a monitoring station as well as missing values within a time series. The main goal is to reduce the uncertainty in air quality assessment. To develop our approach we combine single and multiple imputation, nearest neighbour geographical distance methods and a clustering algorithm for time series. For each station that measures ozone, we produce various imputations for this pollutant and measure the similarity/error between the imputed and the real values. Our results show that imputation by average based on clustering results combined with multiple imputation for missing values is the most reliable and is associated with lower average error and standard deviation.},
keywords = {},
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Air pollution is a global problem. The assessment of air pollution concentration data is important for evaluating human exposure and the associated risk to health. Unfortunately, air pollution monitoring stations often have periods of missing data or do not measure all pollutants. In this study, we experiment with different approaches to estimate the whole time series for a missing pollutant at a monitoring station as well as missing values within a time series. The main goal is to reduce the uncertainty in air quality assessment. To develop our approach we combine single and multiple imputation, nearest neighbour geographical distance methods and a clustering algorithm for time series. For each station that measures ozone, we produce various imputations for this pollutant and measure the similarity/error between the imputed and the real values. Our results show that imputation by average based on clustering results combined with multiple imputation for missing values is the most reliable and is associated with lower average error and standard deviation.
Jones, Matthew
Climate change as an enabler of wildfire Inproceedings
In: The DRIVER+ Project Report, pp. 12–17, EU H2020 Project: Driving Innovation in Crisis Management for European Resilience, 2020.
@inproceedings{1e0d3a95459146619318c446bc19d0ab,
title = {Climate change as an enabler of wildfire},
author = {Matthew Jones},
year = {2020},
date = {2020-02-18},
booktitle = {The DRIVER+ Project Report},
pages = {12--17},
publisher = {EU H2020 Project: Driving Innovation in Crisis Management for European Resilience},
abstract = {This paper gives a brief overview of the latest science on climate change, its drivers and its consequences for global wildfire risk. Human-driven climate change promotes the conditions on which wildfires depend, enhancing their likelihood and challenging suppression efforts.},
keywords = {},
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This paper gives a brief overview of the latest science on climate change, its drivers and its consequences for global wildfire risk. Human-driven climate change promotes the conditions on which wildfires depend, enhancing their likelihood and challenging suppression efforts.
2018
Manggala, Meilati Ligardini; Sunkar, Arzyana; Carmenta, Rachel
Local perceptions of oil palm plantation: Case study in Kumai subdistrict, Central Kalimantan Inproceedings
In: Huyop, Fahrul Zaman Bin; Siswanto, Dian; Mastuti, Retno; Treesubsuntorn, Chairat (Ed.): 9th International Conference on Global Resource Conservation, ICGRC and AJI from Ritsumeikan University, American Institute of Physics Inc., 2018, (Funding Information: This work was supported by BPDPKS (Indonesian Oil Palm Estate Fund Agency). Thanks are also forwarded to GAPKI (Indonesian Palm Oil Associations) and PT. ASMR for the permissions and the facilities provided during the study period. Publisher Copyright: textcopyright 2018 Author(s).; 9th International Conference on Global Resource Conservation and AJI from Ritsumeikan University, ICGRC 2018 ; Conference date: 07-03-2018 Through 08-03-2018).
@inproceedings{6d7494e7574b40c1b1a5f4701f40cb8f,
title = {Local perceptions of oil palm plantation: Case study in Kumai subdistrict, Central Kalimantan},
author = {Meilati Ligardini Manggala and Arzyana Sunkar and Rachel Carmenta},
editor = {Fahrul Zaman Bin Huyop and Dian Siswanto and Retno Mastuti and Chairat Treesubsuntorn},
doi = {10.1063/1.5061876},
year = {2018},
date = {2018-10-10},
booktitle = {9th International Conference on Global Resource Conservation, ICGRC and AJI from Ritsumeikan University},
publisher = {American Institute of Physics Inc.},
series = {AIP Conference Proceedings},
abstract = {Being directly affected by oil palm plantation development, local people's opinions need to be acknowledged as they indicate the future development of the plantation. This study was conducted to analyse the local people's perceptions of oil palm plantations. A five-point Likert scale household survey was conducted in August 2017 in one hamlet and two villages where a new oil palm plantation had just been developed (trees planted in 2013). The statements were read by a surveyor to 97 respondents selected using convenience sampling. The results were analysed using descriptive qualitative analysis. The study found that the local people's perceptions of oil palm plantations had both common and distinct results, based on the location and community characteristics. People in the three study sites showed some common perceptions towards the economic and social impacts of the oil palm plantation, with economic impacts receiving the most positive perceptions. People showed the most positive attitudes towards the plantation's impacts in increasing employment (95.56%) and decreasing urbanisation (95.56%). On the contrary, their perceptions of the plantation's environmental impacts received the lowest positive perceptions. However, unlike the negative accusations towards the plantation's impact on forest and land fires, all respondents agreed that the company did not cause the fires.},
note = {Funding Information: This work was supported by BPDPKS (Indonesian Oil Palm Estate Fund Agency). Thanks are also forwarded to GAPKI (Indonesian Palm Oil Associations) and PT. ASMR for the permissions and the facilities provided during the study period. Publisher Copyright: textcopyright 2018 Author(s).; 9th International Conference on Global Resource Conservation and AJI from Ritsumeikan University, ICGRC 2018 ; Conference date: 07-03-2018 Through 08-03-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Being directly affected by oil palm plantation development, local people's opinions need to be acknowledged as they indicate the future development of the plantation. This study was conducted to analyse the local people's perceptions of oil palm plantations. A five-point Likert scale household survey was conducted in August 2017 in one hamlet and two villages where a new oil palm plantation had just been developed (trees planted in 2013). The statements were read by a surveyor to 97 respondents selected using convenience sampling. The results were analysed using descriptive qualitative analysis. The study found that the local people's perceptions of oil palm plantations had both common and distinct results, based on the location and community characteristics. People in the three study sites showed some common perceptions towards the economic and social impacts of the oil palm plantation, with economic impacts receiving the most positive perceptions. People showed the most positive attitudes towards the plantation's impacts in increasing employment (95.56%) and decreasing urbanisation (95.56%). On the contrary, their perceptions of the plantation's environmental impacts received the lowest positive perceptions. However, unlike the negative accusations towards the plantation's impact on forest and land fires, all respondents agreed that the company did not cause the fires.
2016
Jenkins, K.; Surminski, S.; Hall, J.; Crick, F.
Surface water flood risk and management strategies for London: An Agent-Based Model approach Inproceedings
In: E3S Web of Conferences, 2016.
@inproceedings{41f93b28a4ed4c28bd4c7403376204db,
title = {Surface water flood risk and management strategies for London: An Agent-Based Model approach},
author = {K. Jenkins and S. Surminski and J. Hall and F. Crick},
doi = {10.1051/e3sconf/20160722003},
year = {2016},
date = {2016-01-01},
booktitle = {E3S Web of Conferences},
abstract = {Flooding is recognised as one of the most common and costliest natural disasters in England. Flooding in urban areas during heavy rainfall is known as ‘surface water flooding’, considered to be the most likely cause of flood events and one of the greatest short-term climate risks for London. In this paper we present results from a novel Agent-Based Model designed to assess the interplay between different adaptation options, different agents, and the role of flood insurance and the flood insurance pool, Flood Re, in the context of climate change. The model illustrates how investment in adaptation options could reduce London’s surface water flood risk, today and in the future. However, benefits can be outweighed by continued development in high risk areas and the effects of climate change. Flood Re is beneficial in its function to provide affordable insurance, even under climate change. However, it offers no additional benefits in terms of overall risk reduction, and will face increasing pressure due to rising surface water flood risk in the future. The modelling approach and findings are highly relevant for reviewing the proposed Flood Re scheme, as well as for wider discussions on the potential of insurance schemes, and broader multi-sectoral partnerships, to incentivise flood risk management in the UK and internationally.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Flooding is recognised as one of the most common and costliest natural disasters in England. Flooding in urban areas during heavy rainfall is known as ‘surface water flooding’, considered to be the most likely cause of flood events and one of the greatest short-term climate risks for London. In this paper we present results from a novel Agent-Based Model designed to assess the interplay between different adaptation options, different agents, and the role of flood insurance and the flood insurance pool, Flood Re, in the context of climate change. The model illustrates how investment in adaptation options could reduce London’s surface water flood risk, today and in the future. However, benefits can be outweighed by continued development in high risk areas and the effects of climate change. Flood Re is beneficial in its function to provide affordable insurance, even under climate change. However, it offers no additional benefits in terms of overall risk reduction, and will face increasing pressure due to rising surface water flood risk in the future. The modelling approach and findings are highly relevant for reviewing the proposed Flood Re scheme, as well as for wider discussions on the potential of insurance schemes, and broader multi-sectoral partnerships, to incentivise flood risk management in the UK and internationally.
2015
Janda, Kathryn B.; Wilson, Charlie; Moezzi, Mithra; Bartiaux, Francoise
Improving efficiency in buildings: conventional and alternative approaches Inproceedings
In: Ekins, Paul; Bradshaw, Mike; Watson, Jim (Ed.): Global Energy, pp. 163–188, Oxford University Press, United Kingdom, 2015, ISBN: 978-0-19-871952-6.
@inproceedings{773d312f6e4249b4be5bbacd35049abb,
title = {Improving efficiency in buildings: conventional and alternative approaches},
author = {Kathryn B. Janda and Charlie Wilson and Mithra Moezzi and Francoise Bartiaux},
editor = {Paul Ekins and Mike Bradshaw and Jim Watson},
isbn = {978-0-19-871952-6},
year = {2015},
date = {2015-09-17},
booktitle = {Global Energy},
pages = {163--188},
publisher = {Oxford University Press},
address = {United Kingdom},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Hargreaves, Tom; Hauxwell-Baldwin, Richard; Wilson, Charlie; Coleman, Mike; Kane, Tom; Stankovic, Lina; Stankovic, Vladimir; Murray, David; Liao, Jing; Firth, Steven; Hassan, Tarek
Smart homes, control and energy management: How do smart home technologies influence control over energy use and domestic life? Inproceedings
In: European Council for an Energy Efficient Economy (ECEEE) 2015 Summer Study Proceedings, pp. 1022–1032, 2015.
@inproceedings{e4949755da7b48a482b1965ade4ea1b3,
title = {Smart homes, control and energy management: How do smart home technologies influence control over energy use and domestic life?},
author = {Tom Hargreaves and Richard Hauxwell-Baldwin and Charlie Wilson and Mike Coleman and Tom Kane and Lina Stankovic and Vladimir Stankovic and David Murray and Jing Liao and Steven Firth and Tarek Hassan},
year = {2015},
date = {2015-06-01},
booktitle = {European Council for an Energy Efficient Economy (ECEEE) 2015 Summer Study Proceedings},
pages = {1022--1032},
abstract = {By introducing new ways of automatically and remotely controlling domestic environments smart technologies have the potential to significantly improve domestic energy management. It is argued that they will simplify users’ lives by allowing them to delegate aspects of decision-making and control - relating to energy management, security, leisure and entertainment etc. - to automated smart home systems. Whilst such technologically-optimistic visions are seductive to many, less research attention has so far been paid to how users interact with and make use of the advanced control functionality that smart homes provide within already complex everyday lives. What literature there is on domestic technology use and control, shows that control is a complex and contested concept. Far from merely controlling appliances, householders are also concerned about a wide range of broader understandings of control relating, for example, to control over security, independence, hectic schedules and even over other household members such as through parenting or care relationships. This paper draws on new quantitative and qualitative data from 4 homes involved in a smart home field trial that have been equipped with smart home systems that provide advanced control functionality over appliances and space heating. Quantitative data examines how householders have used the systems both to try and improve their energy efficiency but also for purposes such as enhanced security or scheduling appliances to align with lifestyles. Qualitative data (from in-depth interviews) explores how smart technologies have impacted upon, and were impacted by, broader understandings of control within the home. The paper concludes by proposing an analytical framework for future research on control in the smart home.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
By introducing new ways of automatically and remotely controlling domestic environments smart technologies have the potential to significantly improve domestic energy management. It is argued that they will simplify users’ lives by allowing them to delegate aspects of decision-making and control - relating to energy management, security, leisure and entertainment etc. - to automated smart home systems. Whilst such technologically-optimistic visions are seductive to many, less research attention has so far been paid to how users interact with and make use of the advanced control functionality that smart homes provide within already complex everyday lives. What literature there is on domestic technology use and control, shows that control is a complex and contested concept. Far from merely controlling appliances, householders are also concerned about a wide range of broader understandings of control relating, for example, to control over security, independence, hectic schedules and even over other household members such as through parenting or care relationships. This paper draws on new quantitative and qualitative data from 4 homes involved in a smart home field trial that have been equipped with smart home systems that provide advanced control functionality over appliances and space heating. Quantitative data examines how householders have used the systems both to try and improve their energy efficiency but also for purposes such as enhanced security or scheduling appliances to align with lifestyles. Qualitative data (from in-depth interviews) explores how smart technologies have impacted upon, and were impacted by, broader understandings of control within the home. The paper concludes by proposing an analytical framework for future research on control in the smart home.
Wilson, Charlie; Lina, Stankovic; Stankovic, Vladimir; Liao, Jing; Coleman, Michael; Hauxwell-Baldwin, Richard; Kane, Tom; Firth, Steven; Hassan, Tarek
Identifying the time profile of everyday activities in the home using smart meter data Inproceedings
In: Proceedings of the ECEEE Summer Study on Buildings, pp. 933–945, 2015.
@inproceedings{225b83fcc7bd4dd9ae3bb65c10bf35e4,
title = {Identifying the time profile of everyday activities in the home using smart meter data},
author = {Charlie Wilson and Stankovic Lina and Vladimir Stankovic and Jing Liao and Michael Coleman and Richard Hauxwell-Baldwin and Tom Kane and Steven Firth and Tarek Hassan},
year = {2015},
date = {2015-06-01},
booktitle = {Proceedings of the ECEEE Summer Study on Buildings},
volume = {2},
pages = {933--945},
abstract = {Activities are a descriptive term for the common ways households spend their time. Examples include cooking, doing laundry, or socialising. Smart meter data can be used to generate time profiles of activities that are meaningful to households’ own lived experience. Activities are therefore a lens through which energy feedback to households can be made salient and understandable. This paper demonstrates a multi-step methodology for inferring hourly time profiles of ten household activities using smart meter data, supplemented by individual appliance plug monitors and environmental sensors.First, household interviews, video ethnography, and technology surveys are used to identify appliances and devices in the home, and their roles in specific activities. Second, ‘ontologies’ are developed to map out the relationships between activities and technologies in the home. One or more technologies may indicate the occurrence of certain activities. Third, data from smart meters, plug monitors and sensor data are collected. Smart meter data measuring aggregate electricity use are disaggregated and processed together with the plug monitor and sensor data to identify when and for how long different activities are occurring. Sensor data are particularly useful for activities that are not always associated with an energy-using device. Fourth, the ontologies are applied to the disaggregated data to make inferences on hourly time profiles of ten everyday activities. These include washing, doing laundry, watching TV (reliably inferred), and cleaning, socialising, working (inferred with uncertainties). Fifth, activity time diaries and structured interviews are used to validate both the ontologies and the inferred activity time profiles.Two case study homes are used to illustrate the methodology using data collected as part of a UK trial of smart home technologies. The methodology is demonstrated to produce reliable time profiles of a range of domestic activities that are meaningful to households. The methodology also emphasises the value of integrating coded interview and video ethnography data into both the development of the activity inference process.},
keywords = {},
pubstate = {published},
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Activities are a descriptive term for the common ways households spend their time. Examples include cooking, doing laundry, or socialising. Smart meter data can be used to generate time profiles of activities that are meaningful to households’ own lived experience. Activities are therefore a lens through which energy feedback to households can be made salient and understandable. This paper demonstrates a multi-step methodology for inferring hourly time profiles of ten household activities using smart meter data, supplemented by individual appliance plug monitors and environmental sensors.First, household interviews, video ethnography, and technology surveys are used to identify appliances and devices in the home, and their roles in specific activities. Second, ‘ontologies’ are developed to map out the relationships between activities and technologies in the home. One or more technologies may indicate the occurrence of certain activities. Third, data from smart meters, plug monitors and sensor data are collected. Smart meter data measuring aggregate electricity use are disaggregated and processed together with the plug monitor and sensor data to identify when and for how long different activities are occurring. Sensor data are particularly useful for activities that are not always associated with an energy-using device. Fourth, the ontologies are applied to the disaggregated data to make inferences on hourly time profiles of ten everyday activities. These include washing, doing laundry, watching TV (reliably inferred), and cleaning, socialising, working (inferred with uncertainties). Fifth, activity time diaries and structured interviews are used to validate both the ontologies and the inferred activity time profiles.Two case study homes are used to illustrate the methodology using data collected as part of a UK trial of smart home technologies. The methodology is demonstrated to produce reliable time profiles of a range of domestic activities that are meaningful to households. The methodology also emphasises the value of integrating coded interview and video ethnography data into both the development of the activity inference process.
Hallgren, Willow; Beaumont, Linda; Bowness, Andrew; Chambers, Lynda; Graham, Erin; Holewa, Hamish; Laffan, Shawn; Mackey, Brendan; Nix, Henry; Price, Jeff; Vanderwal, Jeremy; Warren, Rachel; Weis, Gerhard
The biodiversity and climate change virtual laboratory: How ecology and big data can be utilised in the fight against vector-borne diseases Inproceedings
In: Weber, Tony; McPhee, Malcolm; Anderssen, Robert (Ed.): Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015, pp. 1448–1454, Modelling and Simulation Society of Australia and New Zealand Inc., 2015, (Funding Information: Funding for the BCCVL comes from the Australian National eResearch Tools and Resources Project (NeCTAR). A complete list of participating institutions, development team members, and governance and advisory committee members can be found at www.bccvl.org.au. No co-authors have any conflicts of interests to declare. Publisher Copyright: textcopyright 2020 Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015. All rights reserved.; 21st International Congress on Modelling and Simulation ; Conference date: 29-11-2015 Through 04-12-2015).
@inproceedings{12a2391b06b4436cb4b0dd8691d8ebe4,
title = {The biodiversity and climate change virtual laboratory: How ecology and big data can be utilised in the fight against vector-borne diseases},
author = {Willow Hallgren and Linda Beaumont and Andrew Bowness and Lynda Chambers and Erin Graham and Hamish Holewa and Shawn Laffan and Brendan Mackey and Henry Nix and Jeff Price and Jeremy Vanderwal and Rachel Warren and Gerhard Weis},
editor = {Tony Weber and Malcolm McPhee and Robert Anderssen},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015},
pages = {1448--1454},
publisher = {Modelling and Simulation Society of Australia and New Zealand Inc.},
series = {Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015},
abstract = {Advances in computing power and infrastructure, increases in the number and size of ecological and environmental datasets, and the number and type of data collection methods, are revolutionizing the field of Ecology. To integrate these advances, virtual laboratories offer a unique tool to facilitate, expedite, and accelerate research into the impacts of climate change on biodiversity. We introduce the uniquely cloud-based Biodiversity and Climate Change Virtual Laboratory (BCCVL), which provides access to numerous species distribution modelling tools; a large and growing collection of biological, climate, and other environmental datasets, as well as a variety of experiment types to conduct research into the impact of climate change on biodiversity. Users can upload and share datasets, potentially increasing collaboration and cross-fertilisation of ideas and innovation among the user community. Feedback confirms that the BCCVL's goals of lowering the technical requirements for species distribution modelling, and reducing time spent on such research, are being met. We present a case study that illustrates the utility of the BCCVL as a research tool that can be applied to the problem of vector borne diseases and the likelihood of climate change altering their future distribution across Australia. This case study presents the preliminary results of an ensemble modelling experiment which employs multiple (15) different species distribution modelling algorithms to model the distribution of one of the main mosquito vectors of the most common vector borne disease in Australia: Ross River Virus (RRV). We use the BCCVL to do future projection of these models with future climates based on two extreme emissions scenarios, for multiple years. Our results show a large range in both the modelled current distribution, and projected future distribution, of the mosquito species studied. Most models (that were built using different algorithms) show somewhat similar current distributions of the species however there are three models that are obvious outliers. The projected models show a similar range in the distribution of the species, with some models indicating a fewer areas (and also areas with a lower probability of occurrence in specific areas) where the species is likely to be found under a climate change scenario. However, a majority of models show an expanded distribution, with some areas that have a greater probability of the occurrence of this species; this will provide a more robust indication of future distribution for policy makers and planners, than if just one or a few models had been employed. The economic and human health impact of vector borne diseases underline the importance of scientifically sound projections of the future spread of common disease vectors such as mosquitos under various climate change scenarios. This is because such information is essential for policy-makers to identify vulnerable communities and to better manage outbreaks and potential epidemics of such diseases. The BCCVL has provided the means to effectively and robustly bracket multiple sources of uncertainty in the future spread of RRV: this study focuses on two of these - the future distribution of a primary mosquito vector of the disease under two extreme scenarios of climate change. Research is underway to expand our analysis to take into account more sources of uncertainty: more vector and amplifying host species, emissions scenarios, and future climate projections from a range of different global climate models.},
note = {Funding Information: Funding for the BCCVL comes from the Australian National eResearch Tools and Resources Project (NeCTAR). A complete list of participating institutions, development team members, and governance and advisory committee members can be found at www.bccvl.org.au. No co-authors have any conflicts of interests to declare. Publisher Copyright: textcopyright 2020 Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015. All rights reserved.; 21st International Congress on Modelling and Simulation ; Conference date: 29-11-2015 Through 04-12-2015},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Advances in computing power and infrastructure, increases in the number and size of ecological and environmental datasets, and the number and type of data collection methods, are revolutionizing the field of Ecology. To integrate these advances, virtual laboratories offer a unique tool to facilitate, expedite, and accelerate research into the impacts of climate change on biodiversity. We introduce the uniquely cloud-based Biodiversity and Climate Change Virtual Laboratory (BCCVL), which provides access to numerous species distribution modelling tools; a large and growing collection of biological, climate, and other environmental datasets, as well as a variety of experiment types to conduct research into the impact of climate change on biodiversity. Users can upload and share datasets, potentially increasing collaboration and cross-fertilisation of ideas and innovation among the user community. Feedback confirms that the BCCVL's goals of lowering the technical requirements for species distribution modelling, and reducing time spent on such research, are being met. We present a case study that illustrates the utility of the BCCVL as a research tool that can be applied to the problem of vector borne diseases and the likelihood of climate change altering their future distribution across Australia. This case study presents the preliminary results of an ensemble modelling experiment which employs multiple (15) different species distribution modelling algorithms to model the distribution of one of the main mosquito vectors of the most common vector borne disease in Australia: Ross River Virus (RRV). We use the BCCVL to do future projection of these models with future climates based on two extreme emissions scenarios, for multiple years. Our results show a large range in both the modelled current distribution, and projected future distribution, of the mosquito species studied. Most models (that were built using different algorithms) show somewhat similar current distributions of the species however there are three models that are obvious outliers. The projected models show a similar range in the distribution of the species, with some models indicating a fewer areas (and also areas with a lower probability of occurrence in specific areas) where the species is likely to be found under a climate change scenario. However, a majority of models show an expanded distribution, with some areas that have a greater probability of the occurrence of this species; this will provide a more robust indication of future distribution for policy makers and planners, than if just one or a few models had been employed. The economic and human health impact of vector borne diseases underline the importance of scientifically sound projections of the future spread of common disease vectors such as mosquitos under various climate change scenarios. This is because such information is essential for policy-makers to identify vulnerable communities and to better manage outbreaks and potential epidemics of such diseases. The BCCVL has provided the means to effectively and robustly bracket multiple sources of uncertainty in the future spread of RRV: this study focuses on two of these - the future distribution of a primary mosquito vector of the disease under two extreme scenarios of climate change. Research is underway to expand our analysis to take into account more sources of uncertainty: more vector and amplifying host species, emissions scenarios, and future climate projections from a range of different global climate models.
Harold, Jordan; Coventry, Kenny; Lorenzoni, Irene; Shipley, Thomas
Making sense of time-series data: How language can help identify long-term trends Inproceedings
In: Proceedings of the 37th Annual Meeting of the Cognitive Science Society, pp. 872–877, Cognitive Science Society, 2015, ISBN: 9781510809550.
@inproceedings{63e58e9377aa410f9dfcbf79f06a52fb,
title = {Making sense of time-series data: How language can help identify long-term trends},
author = {Jordan Harold and Kenny Coventry and Irene Lorenzoni and Thomas Shipley},
isbn = {9781510809550},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 37th Annual Meeting of the Cognitive Science Society},
pages = {872--877},
publisher = {Cognitive Science Society},
abstract = {Real-world time-series data can show substantial short-term variability as well as underlying long-term trends. Verbal descriptions from a pilot study, in which participants interpreted a real-world line graph about climate change, revealed that trend interpretation might be problematic (Experiment 1). The effect of providing a graph interpretation strategy, via a linguistic warning, on the encoding of longterm trends was then tested using eye tracking (Experiment 2). The linguistic warning was found to direct visual attention to task-relevant information thus enabling more detailed internal representations of the data to be formed. Language may therefore be an effective tool to support users in making appropriate spatial inferences about data.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Real-world time-series data can show substantial short-term variability as well as underlying long-term trends. Verbal descriptions from a pilot study, in which participants interpreted a real-world line graph about climate change, revealed that trend interpretation might be problematic (Experiment 1). The effect of providing a graph interpretation strategy, via a linguistic warning, on the encoding of longterm trends was then tested using eye tracking (Experiment 2). The linguistic warning was found to direct visual attention to task-relevant information thus enabling more detailed internal representations of the data to be formed. Language may therefore be an effective tool to support users in making appropriate spatial inferences about data.
2014
Chrysochoidis, Georgios; Wilson, Charlie
Reducing the UK’s Carbon Footprint: Household Renovation Decisions and the results of a UK-Wide Survey Inproceedings
In: Academy of Marketing 2014, 2014.
@inproceedings{a067f6b9fe034944923452418cdfd86c,
title = {Reducing the UK’s Carbon Footprint: Household Renovation Decisions and the results of a UK-Wide Survey},
author = {Georgios Chrysochoidis and Charlie Wilson},
year = {2014},
date = {2014-07-10},
booktitle = {Academy of Marketing 2014},
abstract = {Reducing old-housing-stock gas emissions is of importance given their major contribution to global warming. For instance, old housing stock generates >40% of the UK’s total gas emissions. Homeowner decisions to reduce energy consumption through home renovations are thus at the heart of success for such sustainability. In this paper we examine the drivers that lead to UK homeowners moving through their home renovation process. Conceptualising renovation decision making, not as a static one off event but as a series of distinctive stages we examine this process as a more dynamic and detailed mechanism which underlies efficiency renovations. We also draw from 2 separate theoretical strands and show what specific drivers are at play at each stage of the renovation decision making process. In doing so, we contrast estimates for energy (and mixed) efficient renovations with estimates for non-energy efficient renovations (i.e., amenity renovations). Last, but not least we also provide an indication of the influence of external triggers. We contrast the estimates from internal home renovation decisions induced singularly from within the household to renovation decisions initiated from both internal and external events.},
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pubstate = {published},
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Reducing old-housing-stock gas emissions is of importance given their major contribution to global warming. For instance, old housing stock generates >40% of the UK’s total gas emissions. Homeowner decisions to reduce energy consumption through home renovations are thus at the heart of success for such sustainability. In this paper we examine the drivers that lead to UK homeowners moving through their home renovation process. Conceptualising renovation decision making, not as a static one off event but as a series of distinctive stages we examine this process as a more dynamic and detailed mechanism which underlies efficiency renovations. We also draw from 2 separate theoretical strands and show what specific drivers are at play at each stage of the renovation decision making process. In doing so, we contrast estimates for energy (and mixed) efficient renovations with estimates for non-energy efficient renovations (i.e., amenity renovations). Last, but not least we also provide an indication of the influence of external triggers. We contrast the estimates from internal home renovation decisions induced singularly from within the household to renovation decisions initiated from both internal and external events.
2013
Chrysochoidis, Georgios; Wilson, Charlie
Multilevel (ML-ICLV) & Single Level Integrated Discrete Choice and Latent Variable (ICLV) Models Using Alternative Latent Structures' Conceptualizations Inproceedings
In: International Choice Modeling Conference 2013, 2013.
@inproceedings{f2fba92daa0948cc97653bc2a085a13c,
title = {Multilevel (ML-ICLV) & Single Level Integrated Discrete Choice and Latent Variable (ICLV) Models Using Alternative Latent Structures' Conceptualizations},
author = {Georgios Chrysochoidis and Charlie Wilson},
year = {2013},
date = {2013-07-05},
booktitle = {International Choice Modeling Conference 2013},
abstract = {The aim of the present endeavor is to experiment on integrating discrete choice with latent variable (ICVL) models using alternative factorial structures’ conceptualizations and do so at both Single Level (Level 0) and Multilevel (ML-ICVL). In doing, specific independent variables amenable to alternative latent variables’ conceptualization were selected. These included: a) 1st-order latent variables (1st-order factors) (FM; FW), b) 1st-order latent variables (1st-order factors) (FM; FW) forming a 2nd-order factor (F), c) Multi-level (two-level) factorial structures (FML0; FML1 and FWL0; FWL1), and d) Bi-Factor factorial structures (FM; FW; FG). The results may be of use to researchers interested in using valid, reliable, and accurate structures of latent variables in ICLV models. We confirm that alternative latent structures of divergent factorial nature exist for the same observed variables, and may have different impact upon the dependent observed choice variable in the ICLV models. Second, DCE utility is conceptualized and estimated at both Level 0 and Level 1 and the differences are evident.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The aim of the present endeavor is to experiment on integrating discrete choice with latent variable (ICVL) models using alternative factorial structures’ conceptualizations and do so at both Single Level (Level 0) and Multilevel (ML-ICVL). In doing, specific independent variables amenable to alternative latent variables’ conceptualization were selected. These included: a) 1st-order latent variables (1st-order factors) (FM; FW), b) 1st-order latent variables (1st-order factors) (FM; FW) forming a 2nd-order factor (F), c) Multi-level (two-level) factorial structures (FML0; FML1 and FWL0; FWL1), and d) Bi-Factor factorial structures (FM; FW; FG). The results may be of use to researchers interested in using valid, reliable, and accurate structures of latent variables in ICLV models. We confirm that alternative latent structures of divergent factorial nature exist for the same observed variables, and may have different impact upon the dependent observed choice variable in the ICLV models. Second, DCE utility is conceptualized and estimated at both Level 0 and Level 1 and the differences are evident.
Jones, Matthew; Quine, T. A.; Rezende, Carlos E.; Dittmar, Thorsten; ao, Luiz E. O. C. Arag
Contribution of biomass fires to black carbon supply in a tropical river basin assessed using a Lagrangian atmospheric transport model and MODIS burned area product Inproceedings
In: Anais XVI Simpósio Brasileiro de Sensoriamento Remoto - SBSR, pp. 6822–6829, Instituto Nacional de Pesquisas Espaciais, 2013.
@inproceedings{eb8cd3d2437c4664a3a236e43e8047a9,
title = {Contribution of biomass fires to black carbon supply in a tropical river basin assessed using a Lagrangian atmospheric transport model and MODIS burned area product},
author = {Matthew Jones and T. A. Quine and Carlos E. Rezende and Thorsten Dittmar and Luiz E. O. C. Arag ao},
year = {2013},
date = {2013-04-18},
booktitle = {Anais XVI Simpósio Brasileiro de Sensoriamento Remoto - SBSR},
pages = {6822--6829},
publisher = {Instituto Nacional de Pesquisas Espaciais},
abstract = {Black carbon (BC) is known to be a potential sink of carbon for the global carbon cycle, particularly if long-term ocean stores are reached. Fluvial transport to the oceans can occur through the dissolution of BC in river water. Evidence from the Paraiba do Sul river basin, Brazil suggests that river DBC concentration is related to charcoal formed during the deforestation of the Brazilian Atlantic Forest. However, we highlight several key potential sources of BC to the basin that are yet to be considered. We hypothesize that external biomass fires are a source of BC to the basin on the basis that BC released from them can be transported over large distances before being deposited. This hypothesis is tested by quantifying the number of biomass fires intercepted by trajectories en route to the basin using the HYSPLIT model and a MODIS burned area dataset. We then create a Black Carbon Fallout Index (BCFI) which is rationalized by our assumption that atmospheric BC delivery to the basin is proportional to the number of interceptions of air masses en route to the basin. Our results suggest that the BC fallout from air masses reaching the basin in the dry season can explain 50% of the variance in DBC measured in the PSR channel during a subsequent collection campaign (p<.001). Spatial and temporal variations in the supply of BC to the basin throughout the dry season may in part be linked to the fires associated with the cultivation of sugarcane in southeast Brazil.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Black carbon (BC) is known to be a potential sink of carbon for the global carbon cycle, particularly if long-term ocean stores are reached. Fluvial transport to the oceans can occur through the dissolution of BC in river water. Evidence from the Paraiba do Sul river basin, Brazil suggests that river DBC concentration is related to charcoal formed during the deforestation of the Brazilian Atlantic Forest. However, we highlight several key potential sources of BC to the basin that are yet to be considered. We hypothesize that external biomass fires are a source of BC to the basin on the basis that BC released from them can be transported over large distances before being deposited. This hypothesis is tested by quantifying the number of biomass fires intercepted by trajectories en route to the basin using the HYSPLIT model and a MODIS burned area dataset. We then create a Black Carbon Fallout Index (BCFI) which is rationalized by our assumption that atmospheric BC delivery to the basin is proportional to the number of interceptions of air masses en route to the basin. Our results suggest that the BC fallout from air masses reaching the basin in the dry season can explain 50% of the variance in DBC measured in the PSR channel during a subsequent collection campaign (p<.001). Spatial and temporal variations in the supply of BC to the basin throughout the dry season may in part be linked to the fires associated with the cultivation of sugarcane in southeast Brazil.
Wilson, Charlie; Crane, Lucy; Chyssochoidis, George
The conditions of normal domestic life help explain homeowners' decision to renovate Inproceedings
In: European Council for an Energy Efficient Economy (ECEEE) Summer Study on Energy Efficiency in Buildings, ECEEE, 2013.
@inproceedings{04364d8ec7f34b9498f5af4b3eaa051a,
title = {The conditions of normal domestic life help explain homeowners' decision to renovate},
author = {Charlie Wilson and Lucy Crane and George Chyssochoidis},
year = {2013},
date = {2013-01-01},
booktitle = {European Council for an Energy Efficient Economy (ECEEE) Summer Study on Energy Efficiency in Buildings},
publisher = {ECEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Wilson, Charlie; Crane, Lucy; Chrysochoidis, Georgios
Why homeowners decide to renovate: the influence of six conditions of domestic life Inproceedings
In: ECEEE Proceedings 2013, ECEEE, 2013.
@inproceedings{bf12403feb0c4d0bbb88022077e49353,
title = {Why homeowners decide to renovate: the influence of six conditions of domestic life},
author = {Charlie Wilson and Lucy Crane and Georgios Chrysochoidis},
year = {2013},
date = {2013-01-01},
booktitle = {ECEEE Proceedings 2013},
publisher = {ECEEE},
abstract = {This paper argues for renovation decisions to be framed as a decision process that originates in everyday life at home. Based on interviews with homeowners prior to and following major home renovations, renovation decisions are conceptualised as emerging from six background conditions of domestic life. The conditions range from balancing competing commitments to the physicality of living. The paper then sets out how each condition can be empirically substantiated in large samples using standardised measurement items. A nationally representative UK homeowner survey (n=1028) is used to test this “scaling up and out” approach for explaining why some homeowners decide to renovate whereas others do not. Self-selection and sampling biases are addressed by comparing homeowners not considering renovations with homeowners deciding about renovations. Homeowners in the renovation decision process are more likely to (i) find differences between their and others’ homes unsettling, (ii) face competing commitments with the use of space at home, (iii) find ideas and inspiration for the home from external sources. These differences are broadly consistent between energy efficiency and other types of renovator. Energy efficient renovations are an adaptive response to imbalances and tensions with the use of space at home.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper argues for renovation decisions to be framed as a decision process that originates in everyday life at home. Based on interviews with homeowners prior to and following major home renovations, renovation decisions are conceptualised as emerging from six background conditions of domestic life. The conditions range from balancing competing commitments to the physicality of living. The paper then sets out how each condition can be empirically substantiated in large samples using standardised measurement items. A nationally representative UK homeowner survey (n=1028) is used to test this “scaling up and out” approach for explaining why some homeowners decide to renovate whereas others do not. Self-selection and sampling biases are addressed by comparing homeowners not considering renovations with homeowners deciding about renovations. Homeowners in the renovation decision process are more likely to (i) find differences between their and others’ homes unsettling, (ii) face competing commitments with the use of space at home, (iii) find ideas and inspiration for the home from external sources. These differences are broadly consistent between energy efficiency and other types of renovator. Energy efficient renovations are an adaptive response to imbalances and tensions with the use of space at home.
2010
Peake, Lewis
The Invisible Superpower: a review of the geopolitical status of Kushite (Twenty-fifth Dynasty) Egypt at the height of its power and a historiographic analysis of the regime's legacy Inproceedings
In: Between the Cataracts: Proceedings of the 11th Conference of Nubian Studies, pp. 465–476, 2010.
@inproceedings{e5c77334cc4d4ed886ef0feeccf2dbed,
title = {The Invisible Superpower: a review of the geopolitical status of Kushite (Twenty-fifth Dynasty) Egypt at the height of its power and a historiographic analysis of the regime's legacy},
author = {Lewis Peake},
year = {2010},
date = {2010-08-01},
booktitle = {Between the Cataracts: Proceedings of the 11th Conference of Nubian Studies},
volume = {2},
pages = {465--476},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2009
Nicholls, Robert; Hanson, Susan; Mokrech, Mustafa; Stansby, Peter; Chini, Nicolas; Walkden, Mike; Dawson, Richard; Roche, Nicolas; Hall, Jim; Nicholson-Cole, Sophie; Watkinson, Andrew; Jude, Simon; Lowe, Jason; Wolf, Judith; Leake, James; Rounsevell, Mark; Fontaine, Corentin; Acosta-Michlik, Lilibeth; Day, Sophie
The Tyndall coastal simulator and interface Inproceedings
In: Smith, Jane McKee (Ed.): Coastal Engineering 2008, pp. 4341–4353, World Scientific Publishing Co. Pte Ltd, Singapore, 2009, ISBN: 978-981-4277-36-5, (31st International Conference on Coastal Engineering ; Conference date: 31-08-2008 Through 05-09-2008).
@inproceedings{faeedd44fd8542ecb976e4a87340ff70,
title = {The Tyndall coastal simulator and interface},
author = {Robert Nicholls and Susan Hanson and Mustafa Mokrech and Peter Stansby and Nicolas Chini and Mike Walkden and Richard Dawson and Nicolas Roche and Jim Hall and Sophie Nicholson-Cole and Andrew Watkinson and Simon Jude and Jason Lowe and Judith Wolf and James Leake and Mark Rounsevell and Corentin Fontaine and Lilibeth Acosta-Michlik and Sophie Day},
editor = {Jane McKee Smith},
doi = {10.1142/9789814277426_0360},
isbn = {978-981-4277-36-5},
year = {2009},
date = {2009-05-01},
booktitle = {Coastal Engineering 2008},
volume = {1-5},
pages = {4341--4353},
publisher = {World Scientific Publishing Co. Pte Ltd},
address = {Singapore},
abstract = {Coastal zones attract settlements, are ideal for a range of economic activities and accommodate important natural habitats that provide ecosystem services. All these coastal activities are vulnerable to climate and other changes unless appropriate management policies are implemented. Sea-level rise and intensified storms could increase the incidence of flooding and erosion, as well as degrade coastal ecosystems. Importantly, the coast is a linked system, and management responses for one area or sector may influence the impacts for other areas or sectors. Understanding coastal processes and taking account of climate and socio-economic futures helps to illustrate/reveal impending choices,and in developing responsive informed long-term coastal management policies. This paper describes research being carried out by the Tyndall Centre for Climate Change Research on their Coastal Simulator. The research includes the linkage of a range of modelling procedures to represent coastal management and climate and coastal processes, as well as the design of a GIS-based interface to make the intergrated results accessible. The prototype simulator provides regional impact assessments of climate and socio-economic futures under various management options in the coastal zones of Norfolk, Fast Anglia and shows that erosion and flood risk are strongly linked.},
note = {31st International Conference on Coastal Engineering ; Conference date: 31-08-2008 Through 05-09-2008},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Coastal zones attract settlements, are ideal for a range of economic activities and accommodate important natural habitats that provide ecosystem services. All these coastal activities are vulnerable to climate and other changes unless appropriate management policies are implemented. Sea-level rise and intensified storms could increase the incidence of flooding and erosion, as well as degrade coastal ecosystems. Importantly, the coast is a linked system, and management responses for one area or sector may influence the impacts for other areas or sectors. Understanding coastal processes and taking account of climate and socio-economic futures helps to illustrate/reveal impending choices,and in developing responsive informed long-term coastal management policies. This paper describes research being carried out by the Tyndall Centre for Climate Change Research on their Coastal Simulator. The research includes the linkage of a range of modelling procedures to represent coastal management and climate and coastal processes, as well as the design of a GIS-based interface to make the intergrated results accessible. The prototype simulator provides regional impact assessments of climate and socio-economic futures under various management options in the coastal zones of Norfolk, Fast Anglia and shows that erosion and flood risk are strongly linked.
1990
Peake, Lewis
A generic model of knowledge-based system tools. Inproceedings
In: Addis, T. R.; Muir, R. M. (Ed.): Research and Development in Expert Systems VII: Proceedings of Expert Systems 90. Presented at ES 90 Conference., pp. 49–60, 1990, ISBN: 9780521404037.
@inproceedings{2113da53db634c2cbce98bf0bdf2d401,
title = {A generic model of knowledge-based system tools.},
author = {Lewis Peake},
editor = {T. R. Addis and R. M. Muir},
isbn = {9780521404037},
year = {1990},
date = {1990-09-01},
booktitle = {Research and Development in Expert Systems VII: Proceedings of Expert Systems 90. Presented at ES 90 Conference.},
pages = {49--60},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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