Pub Date : 2023-01-01DOI: 10.1553/giscience2023_01_s69
Pascoal Gota
Using forests as burial and ceremonial places is a long-standing cultural practice in Mozambique. However, this information is still not translated into land-cover and land-use maps. Thus the locations of these forests and their descriptions remain unknown. To address this gap in the knowledge, this paper presents the results of mapping 52 local heritage sites in Inhambane, and analysing land-cover changes of two locally protected forest patches. Results from spatiotemporal change analysis show that these patches experienced fewer disturbances in comparison to other areas of vegetation.
{"title":"Mapping Spatiotemporal Changes of Evergreen Forest Patches that are Heritage Sites in Southern Mozambique using Google Earth Engine","authors":"Pascoal Gota","doi":"10.1553/giscience2023_01_s69","DOIUrl":"https://doi.org/10.1553/giscience2023_01_s69","url":null,"abstract":"Using forests as burial and ceremonial places is a long-standing cultural practice in Mozambique. However, this information is still not translated into land-cover and land-use maps. Thus the locations of these forests and their descriptions remain unknown. To address this gap in the knowledge, this paper presents the results of mapping 52 local heritage sites in Inhambane, and analysing land-cover changes of two locally protected forest patches. Results from spatiotemporal change analysis show that these patches experienced fewer disturbances in comparison to other areas of vegetation.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89284824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1553/giscience2022_02_s66
Flavio Horbach, Dominik Visca, S. Pagel, Pascal Neis
Various methods, for example image recognition, speech-to-text algorithms, and natural language processing, can be used to capture location references in linear and non-linear media content. The methods differ in terms of the technologies, procedures or media, such as the audio track or video images. Our investigation, which is based on the metadata of a video, reveals that georeferencing media content is possible, and that, using examples from the ARD Mediathek, the genre and thus the content of a video can influence the results
{"title":"Methods for Georeferencing Linear and Non-Linear Media Content","authors":"Flavio Horbach, Dominik Visca, S. Pagel, Pascal Neis","doi":"10.1553/giscience2022_02_s66","DOIUrl":"https://doi.org/10.1553/giscience2022_02_s66","url":null,"abstract":"Various methods, for example image recognition, speech-to-text algorithms, and natural language processing, can be used to capture location references in linear and non-linear media content. The methods differ in terms of the technologies, procedures or media, such as the audio track or video images. Our investigation, which is based on the metadata of a video, reveals that georeferencing media content is possible, and that, using examples from the ARD Mediathek, the genre and thus the content of a video can influence the results","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90901182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1553/giscience2023_01_s22
Nikos Georgopoulos, K. Antoniadis, Michail Sismanis, I. Gitas
Above-ground biomass and carbon stock are fundamental components of the global carbon cycle, essential for climate change mitigation. Remote sensing data can provide timely and accurate estimates of various forest attributes, especially over large and remote forested areas. The objective of this research was to investigate the potential of multispectral LiDAR data for estimating the stem biomass (SB) and total biomass (TB) in a multi-layered fir forest using an Edge-tree corrected Area Based Approach (EABA). Subsequently, a Random Forest (RF) regression analysis was performed to develop SB and TB predictive models using LiDAR-derived height metrics. Two RF models were produced and evaluated in terms of their predictive performance. Overall, our work demonstrates the capability of multispectral LiDAR data to provide reliable SB and TB estimates in a complex structured forest, contributing significantly to sustainable forest management.
{"title":"Above-Ground Forest Biomass Estimation using Multispectral LiDAR Data in a Multilayered Coniferous Forest","authors":"Nikos Georgopoulos, K. Antoniadis, Michail Sismanis, I. Gitas","doi":"10.1553/giscience2023_01_s22","DOIUrl":"https://doi.org/10.1553/giscience2023_01_s22","url":null,"abstract":"Above-ground biomass and carbon stock are fundamental components of the global carbon cycle, essential for climate change mitigation. Remote sensing data can provide timely and accurate estimates of various forest attributes, especially over large and remote forested areas. The objective of this research was to investigate the potential of multispectral LiDAR data for estimating the stem biomass (SB) and total biomass (TB) in a multi-layered fir forest using an Edge-tree corrected Area Based Approach (EABA). Subsequently, a Random Forest (RF) regression analysis was performed to develop SB and TB predictive models using LiDAR-derived height metrics. Two RF models were produced and evaluated in terms of their predictive performance. Overall, our work demonstrates the capability of multispectral LiDAR data to provide reliable SB and TB estimates in a complex structured forest, contributing significantly to sustainable forest management.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75044295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1553/giscience2022_02_s3
Yingjie Liu
{"title":"Investigation and Evaluation of a Transport Index for a Healthy Ageing Society","authors":"Yingjie Liu","doi":"10.1553/giscience2022_02_s3","DOIUrl":"https://doi.org/10.1553/giscience2022_02_s3","url":null,"abstract":"","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83923169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1553/giscience2023_01_s45
Sean Jarrett, D. Hölbling
A method using Sentinel-1 synthetic aperture radar (SAR) data to evidence flood changes after floodplain restoration is proposed. A Natural Flood Management (NFM) project on the Ouse river in southern England, undertaken by the Sussex Flow Initiative, was analysed to ascertain any reduction of previous flood risk. GIS operations were conducted on the results of the change detection analysis to identify how flood area, form and compactness were affected after the NFM installation, and how these changes relate to the project aims. Flood records based on internet-published drone footage verified the change detection methodology. A scorecard was developed to evaluate the benefits and disadvantages of spatial changes seen in post-restoration floods in comparison to inundation before the measures were installed. Evaluation results were used in the annual report of the SFI project to demonstrate the attenuation of floodwaters in accordance with the aims of the project.
{"title":"SAR Change Detection to Evaluate Flood Event Characteristics, Pre- and Post-Restoration of a Floodplain","authors":"Sean Jarrett, D. Hölbling","doi":"10.1553/giscience2023_01_s45","DOIUrl":"https://doi.org/10.1553/giscience2023_01_s45","url":null,"abstract":"A method using Sentinel-1 synthetic aperture radar (SAR) data to evidence flood changes after floodplain restoration is proposed. A Natural Flood Management (NFM) project on the Ouse river in southern England, undertaken by the Sussex Flow Initiative, was analysed to ascertain any reduction of previous flood risk. GIS operations were conducted on the results of the change detection analysis to identify how flood area, form and compactness were affected after the NFM installation, and how these changes relate to the project aims. Flood records based on internet-published drone footage verified the change detection methodology. A scorecard was developed to evaluate the benefits and disadvantages of spatial changes seen in post-restoration floods in comparison to inundation before the measures were installed. Evaluation results were used in the annual report of the SFI project to demonstrate the attenuation of floodwaters in accordance with the aims of the project.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"115 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83678561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1553/giscience2023_01_s140
P. Stutz, Maximilian Elixhauser, Judith Grubinger-Preiner, Vivienne Linner, Eva Reibersdorfer-Adelsberger, Christoph Traun, G. Wallentin, Katharina Wöhs, Thomas Zuberbühler
Natural language processing systems like ChatGPT have recently attracted enormous attention in the field of higher education. We aim to contribute to this discussion by scrutinizing the suitability of current testing methods and potentially necessary shifts in learning objectives in GIScience. This paper presents an anecdotal approach to the impact of ChatGPT on teaching and learning based on a real-world use case. It focuses on the results of a fictional student who used ChatGPT for the completion of application-development assignments, including coding. The solutions were submitted to the instructor, who assessed the results in a single-blind experiment. The instructor’s feedback and grading as well as the AI-plagiarism results were part of our evaluation of the testing methods applied. This triggered a discussion on the adequacy of current learning objectives in the development of GIS applications and the integration of AI into the learning process.
{"title":"Ch(e)atGPT? An Anecdotal Approach Addressing the Impact of ChatGPT on Teaching and Learning GIScience","authors":"P. Stutz, Maximilian Elixhauser, Judith Grubinger-Preiner, Vivienne Linner, Eva Reibersdorfer-Adelsberger, Christoph Traun, G. Wallentin, Katharina Wöhs, Thomas Zuberbühler","doi":"10.1553/giscience2023_01_s140","DOIUrl":"https://doi.org/10.1553/giscience2023_01_s140","url":null,"abstract":"Natural language processing systems like ChatGPT have recently attracted enormous attention in the field of higher education. We aim to contribute to this discussion by scrutinizing the suitability of current testing methods and potentially necessary shifts in learning objectives in GIScience. This paper presents an anecdotal approach to the impact of ChatGPT on teaching and learning based on a real-world use case. It focuses on the results of a fictional student who used ChatGPT for the completion of application-development assignments, including coding. The solutions were submitted to the instructor, who assessed the results in a single-blind experiment. The instructor’s feedback and grading as well as the AI-plagiarism results were part of our evaluation of the testing methods applied. This triggered a discussion on the adequacy of current learning objectives in the development of GIS applications and the integration of AI into the learning process.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84820046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1553/giscience2023_01_s118
R. Vogler, S. Hennig, F. Albrecht
Urban green plays a central role in discussions about quality of life in urban areas. Young people have particular requirements of urban green, understanding of which is key in planning infrastructure and design aspects in cities. In order to support the spatial planning of child-and youth-friendly cities, including urban green, some questions must first be answered: (i) What kind of urban green is important? (ii) What kind of infrastructure elements are needed? (iii) What are the central characteristics and design aspects of urban green and its elements? (iv) How are they rated? The u3Green project aims to answer these questions by developing a survey app in cooperation with schools. The data gathered via the app will be analysed in order for recommendations to be made. Preliminary research activities were conducted. (1) A literature review investigated children’s and young people’s requirements of urban green. (2) An online questionnaire asked about urban outdoor activities, liked places, and the personal meaning of favourite places. The survey confirmed the needs and requirements identified in the literature review, but also revealed a new and surprising category of activity: walking. (3) A number of workshops in schools revealed what young people consider as negative factors in urban areas, especially traffic.
{"title":"Urban Green for Child- and Youth-Friendly Cities","authors":"R. Vogler, S. Hennig, F. Albrecht","doi":"10.1553/giscience2023_01_s118","DOIUrl":"https://doi.org/10.1553/giscience2023_01_s118","url":null,"abstract":"Urban green plays a central role in discussions about quality of life in urban areas. Young people have particular requirements of urban green, understanding of which is key in planning infrastructure and design aspects in cities. In order to support the spatial planning of child-and youth-friendly cities, including urban green, some questions must first be answered: (i) What kind of urban green is important? (ii) What kind of infrastructure elements are needed? (iii) What are the central characteristics and design aspects of urban green and its elements? (iv) How are they rated? The u3Green project aims to answer these questions by developing a survey app in cooperation with schools. The data gathered via the app will be analysed in order for recommendations to be made. Preliminary research activities were conducted. (1) A literature review investigated children’s and young people’s requirements of urban green. (2) An online questionnaire asked about urban outdoor activities, liked places, and the personal meaning of favourite places. The survey confirmed the needs and requirements identified in the literature review, but also revealed a new and surprising category of activity: walking. (3) A number of workshops in schools revealed what young people consider as negative factors in urban areas, especially traffic.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85034293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1553/giscience2022_02_s58
Elisabeth Füssl, Jannik Riess, M. Loidl, Steffen Reichelt, Bernd Resch, Florian Kratochwil
{"title":"Development of a Standardized, Interdisciplinary Approach for Evaluating the Impact of Infrastructural Interventions on Sustainable Mobility","authors":"Elisabeth Füssl, Jannik Riess, M. Loidl, Steffen Reichelt, Bernd Resch, Florian Kratochwil","doi":"10.1553/giscience2022_02_s58","DOIUrl":"https://doi.org/10.1553/giscience2022_02_s58","url":null,"abstract":"","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79540438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1553/giscience2023_01_s83
L. Juhász, H. Hochmair
Switching to electric vehicles (EVs) has increased rapidly over recent years. This paradigm change provides an important pillar in the United States transport sector to reach sustainability goals. EVs rely on a network of charging locations to operate. This study analyses the spatial distribution, accessibility and usage patterns of the public EV infrastructure in the US. First, using a negative binomial regression model, the influence of socio-economic and other factors on the abundance of EV charging locations in a state is investigated. Second, analysis of the network’s use and of service areas generated around charging locations provides insight into the accessibility of these stations to populations living in urban and rural areas. Third, the study compares publicly available datasets on the EV charging infrastructure provided by different companies in the Miami urbanized area, and lastly, it analyses real-time data from the SemaConnect charging network. Results indicate increased access of residents to the EV charging infrastructure over the years. Economic activity, highway density and political preference were statistically associated with the number of charging stations. Charging behaviour was found to follow the patterns of a regular workday, indicating that EV owners rely primarily on the public infrastructure as opposed to charging their vehicles only at home.
{"title":"Spatial and Temporal Analysis of Location and Usage of Public Electric Vehicle Charging Infrastructure in the United States","authors":"L. Juhász, H. Hochmair","doi":"10.1553/giscience2023_01_s83","DOIUrl":"https://doi.org/10.1553/giscience2023_01_s83","url":null,"abstract":"Switching to electric vehicles (EVs) has increased rapidly over recent years. This paradigm change provides an important pillar in the United States transport sector to reach sustainability goals. EVs rely on a network of charging locations to operate. This study analyses the spatial distribution, accessibility and usage patterns of the public EV infrastructure in the US. First, using a negative binomial regression model, the influence of socio-economic and other factors on the abundance of EV charging locations in a state is investigated. Second, analysis of the network’s use and of service areas generated around charging locations provides insight into the accessibility of these stations to populations living in urban and rural areas. Third, the study compares publicly available datasets on the EV charging infrastructure provided by different companies in the Miami urbanized area, and lastly, it analyses real-time data from the SemaConnect charging network. Results indicate increased access of residents to the EV charging infrastructure over the years. Economic activity, highway density and political preference were statistically associated with the number of charging stations. Charging behaviour was found to follow the patterns of a regular workday, indicating that EV owners rely primarily on the public infrastructure as opposed to charging their vehicles only at home.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90323579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1553/giscience2022_02_s47
I. Ismayilova, S. Timpf
{"title":"Towards an Ontology of Urban Green Spaces","authors":"I. Ismayilova, S. Timpf","doi":"10.1553/giscience2022_02_s47","DOIUrl":"https://doi.org/10.1553/giscience2022_02_s47","url":null,"abstract":"","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":"97 1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89853397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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