GI_Forum最新文献_第2页

Application of Object-Based Image Analysis for Detecting and Differentiating between Shallow Landslides and Debris Flows 基于目标的图像分析在浅层滑坡与泥石流检测与鉴别中的应用

GI_Forum Pub Date : 2023-01-01 DOI: 10.1553/giscience2023_01_s34

H. C. Dias, D. Hölbling, V. C. Dias, C. Grohmann

引用次数: 1

Framework and Use Case for a Web-Based Interactive Analysis Tool to Investigate Urban Expansion and Sustainable Development Goal Indicators 基于网络的城市扩张与可持续发展目标指标调查互动分析工具框架与用例

GI_Forum Pub Date : 2023-01-01 DOI: 10.1553/giscience2022_02_s18

Meng-Chin Tsai, S. van Gasselt

{"title":"Framework and Use Case for a Web-Based Interactive Analysis Tool to Investigate Urban Expansion and Sustainable Development Goal Indicators","authors":"Meng-Chin Tsai, S. van Gasselt","doi":"10.1553/giscience2022_02_s18","DOIUrl":"https://doi.org/10.1553/giscience2022_02_s18","url":null,"abstract":"Land cover changes have been mapped for decades to investigate urban expansion patterns. Under the UN Sustainable Development Goals (SDGs), several indices are employed to interpret urban growth trends quantitatively and comprehensively. However, landowners and the interested public usually have limited insights into these types of information as access to data and software is limited. Static maps and the inability to access special file formats increase the difficulty of viewing and investigating the data. This contribution presents a dedicated, interactive, web-based analysis tool for integrating land cover and land use maps as well as urban expansion indices. The tool’s concept, development and functionality are presented, and its general design is reviewed based on an actual implementation case. The setup allows integrating land use and land cover (LULC) change data alongside SDG indicators. The tool’s design aims to enhance user accessibility to information on urban expansion indices and LULC. We demonstrate that such a tool can be used to help disseminate results and to improve communication with the public in the context of other use cases.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88681419","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}

引用次数: 0

Analysing and Identifying Geospatial Key Factors in Smart Cities – Model Enhancements in the Use Case of Carpark Occupancy 分析和识别智慧城市的地理空间关键因素-停车场占用用例中的模型增强

GI_Forum Pub Date : 2023-01-01 DOI: 10.1553/giscience2022_02_s32

A. Rolwes, Paul-Bogdan Radu, K. Böhm

引用次数: 1

The BioWhere Project: Unlocking the Potential of Biological Collections Data BioWhere项目:释放生物收集数据的潜力

GI_Forum Pub Date : 2023-01-01 DOI: 10.1553/giscience2023_01_s3

Kristin Stock, K. Wijegunarathna, C. B. Jones, H. Morris, Pragyan Das, D. Medyckyj-Scott, Brandon Whitehead

{"title":"The BioWhere Project: Unlocking the Potential of Biological Collections Data","authors":"Kristin Stock, K. Wijegunarathna, C. B. Jones, H. Morris, Pragyan Das, D. Medyckyj-Scott, Brandon Whitehead","doi":"10.1553/giscience2023_01_s3","DOIUrl":"https://doi.org/10.1553/giscience2023_01_s3","url":null,"abstract":"Vast numbers of biological specimens (e.g. flora, fauna, soils) are stored in collections globally. Many of these have only a natural-language location description, such as ‘ 200ft above and south of main highway, 1.1 miles west of Porters Pass ’, and numerical coordinates are unknown. The BioWhere project is pioneering methods to automatically determine the geographic coordinates (georeferences) of complex location descriptions. Particular challenges are posed by the variable accuracy of recent and historical data that might be used to train models to predict geographic coordinates from the natural-language descriptions; by the presence of historical place names in the descriptions that are not stored in existing gazetteers; and by the vague and context-sensitive nature (e.g. above , on , south of ) of the descriptions. We are addressing these challenges by extending the latest transformer-based deep learning models to parse locality descriptions, and to build models for specific spatial terms that incorporate geographic context and data quality to more accurately predict georeferences. We also describe a gazetteer that contains enriched cultural content to support georeferencing of historical records, and to serve as a store of New Zealand Māori cultural knowledge for future generations.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84974641","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}

引用次数: 0

A Comparative Study of Geocoder Performance on Unstructured Tweet Locations Geocoder在非结构化Tweet位置上性能的比较研究

GI_Forum Pub Date : 2023-01-01 DOI: 10.1553/giscience2023_01_s110

H. N. Serere, Umut Nefta Kanilmaz, Sruthi Ketineni, Bernd Resch

引用次数: 0

Promoting Active and Sustainable Commuting: A Tool for Analysing Location-specific Conditions and Potentials for Walking, Cycling and Public Transport 促进积极和可持续的通勤:一种分析特定地点条件和步行、骑自行车和公共交通潜力的工具

GI_Forum Pub Date : 2023-01-01 DOI: 10.1553/giscience2023_01_s101

Yingwen Deng, Dagmar Lahnsteiner, Thomas Prinz

{"title":"Promoting Active and Sustainable Commuting: A Tool for Analysing Location-specific Conditions and Potentials for Walking, Cycling and Public Transport","authors":"Yingwen Deng, Dagmar Lahnsteiner, Thomas Prinz","doi":"10.1553/giscience2023_01_s101","DOIUrl":"https://doi.org/10.1553/giscience2023_01_s101","url":null,"abstract":"Active and sustainable commuting has a positive impact not only on the environment but also on individuals’ health. A shift from using unsustainable motorized transport modes to active and sustainable alternatives (cycling, walking and public transport) is desirable. To enable such a shift, it is important to raise public awareness and to call for joint efforts by individuals, employers, planning practitioners and decision-makers. In the ActNow research project, a tool was developed which provides location-specific information vital for promoting active and sustainable commuting. Applying GIS methods, heterogeneous data were analysed and integrated into a 500-metre raster. This raster is embedded in a web application, which provides users with a holistic view of commuter traffic, the accessibility of infrastructure, as well as the potentials, strengths and weaknesses at locations of interest for active and sustainable forms of commuting. The tool provides planners, traffic associations and mobility consultants with evidence that can support them to achieve improvements in traffic, the environment and public health.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90698357","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}

引用次数: 0

The State of Trajectory Visualization in Notebook Environments 笔记本环境下轨迹可视化的现状

GI_Forum Pub Date : 2023-01-01 DOI: 10.1553/giscience2022_02_s73

A. Graser

引用次数: 1

STEAM Stories: A Co-creation Approach to Building STEAM Skills through Stories of Personal Interest STEAM故事:通过个人兴趣故事建立STEAM技能的共同创造方法

GI_Forum Pub Date : 2022-01-01 DOI: 10.1553/giscience2022_01_s135

Christina Zorenböhmer, Eva Missoni-Steinbacher, P. Jeremias, U. Öttl, Bernd Resch

{"title":"STEAM Stories: A Co-creation Approach to Building STEAM Skills through Stories of Personal Interest","authors":"Christina Zorenböhmer, Eva Missoni-Steinbacher, P. Jeremias, U. Öttl, Bernd Resch","doi":"10.1553/giscience2022_01_s135","DOIUrl":"https://doi.org/10.1553/giscience2022_01_s135","url":null,"abstract":"The ever-increasing digitalization of our everyday lives repeatedly and prominently sparks discussion about the need for STEAM (Science, Technology, Engineering, Arts, Mathematics) skills. In terms of education, STEAM initiatives focus on skills development and the use of digital technologies to stimulate students’ engagement with societal issues. This paper introduces an iterative co-creation-based approach for enabling and enriching STEAM learning experiences. Our goal is to foster young citizen scientists by having them share and discuss stories of personal interest and experience, while practising and improving their STEAM skills through local engagement. The young citizen scientists contribute to all phases of a story, including its co-creation and conception, data collection, discussion in workshops, and generating outputs relevant to local and regional policymakers. The particular spatial focus of the approach is in the places where the stories take place. The stories are uploaded to a map-based platform, which is used for data collection and visualization, and as a focus for discussion. Through personal involvement, the young citizen scientists are motivated, which fosters local ownership, sustainable use of the platform, and effective capacity building in digital skills.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82926167","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}

引用次数: 0

Development of a Drought Early Warning System based on the Prediction of Agricultural Productivity: A Data Science Approach 基于农业生产力预测的干旱预警系统开发:数据科学方法

GI_Forum Pub Date : 2022-01-01 DOI: 10.1553/giscience2022_01_s58

H. Kemper

{"title":"Development of a Drought Early Warning System based on the Prediction of Agricultural Productivity: A Data Science Approach","authors":"H. Kemper","doi":"10.1553/giscience2022_01_s58","DOIUrl":"https://doi.org/10.1553/giscience2022_01_s58","url":null,"abstract":"Drought is among the most common but least understood phenomena that affect an increasing number of people in the context of climate change. To understand underlying drought dynamics affecting the local agricultural production in Botswana, a broad database comprising climatic and remote-sensing data together with socioeconomic indicators was set up. A data science approach that includes statistical and machine learning methods was chosen to retrieve information applicable in a drought early-warning system. The aim of the study was to examine how data science can contribute to the understanding of drought risk through the integration of various data sources. Different regression models (including linear and OLS) were applied. Naïve Bayes classification and Random Forest regression were included, as was a change point analysis. The impacts of two variables in particular, the Standardized Precipitation Index (SPI) and the Southern Oscillation Index (SOI), on crop productivity could be observed, highlighting possible national and regional thresholds. Further development of the early warning system, including validation, should be accompanied by ground-truth information and work with local partners.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76715504","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}

引用次数: 0

Identification of Transit Service Gaps through Accessibility and Social Vulnerability Mapping in Miami-Dade County 通过可达性和社会脆弱性地图识别迈阿密戴德县交通服务差距

GI_Forum Pub Date : 2022-01-01 DOI: 10.1553/giscience2022_01_s17

H. Hochmair, Eli Brossell, Z. Fu

{"title":"Identification of Transit Service Gaps through Accessibility and Social Vulnerability Mapping in Miami-Dade County","authors":"H. Hochmair, Eli Brossell, Z. Fu","doi":"10.1553/giscience2022_01_s17","DOIUrl":"https://doi.org/10.1553/giscience2022_01_s17","url":null,"abstract":"Inadequate provision of public transportation services can lead to mobility-related social exclusion for disadvantaged population groups (e.g., lower-income families, the elderly), and limited accessibility to jobs, healthy food, and recreational as well as social activities. The aim of this study is to identify areas in Miami-Dade County, Florida, where disadvantaged populations lack transit-based access to these opportunities, and where transit service improvement could benefit these groups especially. This involves developing a transit-based accessibility index which uses timetable data from three public transit agencies. It also entails devising a vulnerability index based on a combination of socioeconomic variables to identify disadvantaged population groups with regards to mobility. Both indices can be combined into a service provision score which quantifies the presence of populations in need of transit service improvements. Results show that the combination of the different index maps and the application of Hotspot analysis can help to identify areas requiring transit service improvement in order to achieve accessibility equity. The analysis and interpretation of accessibility maps and selected demographic layers, such as percentage of households without vehicle, facilitates the identification of areas with above-average rates of users who rely on public transportation.","PeriodicalId":29645,"journal":{"name":"GI_Forum","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80732955","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}

引用次数: 1