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Full-Text Articles in Social and Behavioral Sciences

Different Stages Of Urbanization Lead To Cropland Loss: Geospatial Data Analysis In A Global Rural-Urban Continuum Perspective, Xiyu Li, Le Yu Oct 2023

Different Stages Of Urbanization Lead To Cropland Loss: Geospatial Data Analysis In A Global Rural-Urban Continuum Perspective, Xiyu Li, Le Yu

I-GUIDE Forum

Rapid urbanization has resulted in widespread loss of cropland, but the spatial-temporal patterns and key stages of this transformation have not been clearly understood. In this study, we mapped cropland loss caused by urban expansion in rural-urban continuum since 2000 based on multiple global land maps. Results show a total 3.35 × 106 ha cropland loss resulting from urban expansion and about 70 % of this land use change occurred in Asia. However, there is a trend of reducing cropland loss area caused by urbanization over the years. In a detailed view of urbanization stages, most cropland losses occurred …

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Market-Mediated Effects: What Are They? And Why Are They Important For Geospatial Analysis Of Sustainability Policies, Iman Haqiqi, Zhan Wang, Srabashi Ray, Uris Baldos, Jing Liu, Thomas Hertel Oct 2023

Market-Mediated Effects: What Are They? And Why Are They Important For Geospatial Analysis Of Sustainability Policies, Iman Haqiqi, Zhan Wang, Srabashi Ray, Uris Baldos, Jing Liu, Thomas Hertel

I-GUIDE Forum

Market-mediated effects can mitigate or amplify the intended effects of sustainability policies. They can also have unintended consequences, including inducing new sustainability stresses or threatening food security. It is important to understand these effects when designing sustainability policies. This paper provides prominent examples of market-mediated effects of a variety of sustainability policies in the food, energy, land and water nexus. This paper reviews the empirical evidence on market-mediated impacts of economic policies generally and then provides a review of recent geospatial modeling aimed at capturing these impacts in the context of local and regional land and water sustainability policies. The …

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Complex Impacts Of Wars On Global Sustainable Development In A Metacoupled World, Qutu Jiang, Zhenci Xu, Yuanzheng Cui, Jianguo Liu Oct 2023

Complex Impacts Of Wars On Global Sustainable Development In A Metacoupled World, Qutu Jiang, Zhenci Xu, Yuanzheng Cui, Jianguo Liu

I-GUIDE Forum

Wars and armed conflicts have had profound impacts on local and global sustainable development in an interconnected world. However, evidence on the impacts of wars is fragmented and little attention has been paid to the impacts on the 17 UN’s Sustainable Development Goals (SDGs), a unifying framework for achieving global sustainable development. This perspective synthesizes the scattered information to provide a holistic analysis and highlight the applications of remote sensing in assessing the impacts of wars on global sustainable development in a metacoupling world. Wars have complex impacts on all 17 SDGs, which cascade beyond conflict zones and spillover to …

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Geospatial Data Integration Middleware For Exploratory Analytics Addressing Regional Natural Resource Grand Challenges In The Us Mountain West, Shannon Albeke, Nicholas Case, Samantha Ewers, Jeffrey Hamerlinck, William Kirkpatrick, Jerod Merkle, Luke Todd Oct 2023

Geospatial Data Integration Middleware For Exploratory Analytics Addressing Regional Natural Resource Grand Challenges In The Us Mountain West, Shannon Albeke, Nicholas Case, Samantha Ewers, Jeffrey Hamerlinck, William Kirkpatrick, Jerod Merkle, Luke Todd

I-GUIDE Forum

This paper describes CyberGIS-based research and development aimed at improving geospatial data integration and visual analytics to better understand the impact of regional climate change on water availability in the U.S. Rocky Mountains. Two Web computing applications are presented. DEVISE - Derived Environmental Variability Indices Spatial Extractor, streamlines utilization of environmental data for better-informed wildlife decisions by biologists and game managers. The WY-Adapt platform aims to enhance predictive understanding of climate change impacts on water availability through two modules: “Current Conditions” and “Future Scenarios”. It integrates high-resolution models of the biophysical environment and human interactions, providing a robust framework for …

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Decentralized Infrastructure For Reproducible And Replicable Geographical Science, Joseph Holler, Peter Kedron Oct 2023

Decentralized Infrastructure For Reproducible And Replicable Geographical Science, Joseph Holler, Peter Kedron

I-GUIDE Forum

The I-GUIDE cyberinfrastructure project for convergence science is a leading example of the possibilities the geospatial data revolution holds for scientific discovery. However, rapidly expanding access to increasingly complex data sources and methods of computational analysis also presents a challenge to the research community. With more data and more potential analyses, researchers face the possibility of jeopardizing the inferential power of convergence research with selection bias. Well-designed infrastructure that can flexibly guide researchers as they record and track decisions in their research designs opens a path to mitigating this problem, while also expanding the reproducibility and replicability of research. Much …

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Streamlined Hpc Environments With Cvmfs And Cybergis-Compute, Alexander C. Michels, Mit Kotak, Anand Padmanabhan, Shaowen Wang Oct 2023

Streamlined Hpc Environments With Cvmfs And Cybergis-Compute, Alexander C. Michels, Mit Kotak, Anand Padmanabhan, Shaowen Wang

I-GUIDE Forum

High-Performance Computing (HPC) resources provide the potential for complex, large-scale modeling and analysis, fueling scientific progress over the last few decades, but these advances are not equally distributed across disciplines. Those in computational disciplines are often trained to have the necessary technical skills to utilize HPC (e.g. familiarity with the terminal), but many disciplines face technical hurdles when trying to apply HPC resources to their work. This unequal familiarity with HPC is increasingly a problem as cross-discipline teams work to tackle critical interdisciplinary issues like climate change and sustainability. CyberGIS-Compute is middle-ware designed to democratize to HPC services with the …

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Large-Scale Google Street View Images For Urban Change Detection, Fangzheng Lyu, Xinlin Ma, Yan Song, Eric Zhu, Shaowen Wang Oct 2023

Large-Scale Google Street View Images For Urban Change Detection, Fangzheng Lyu, Xinlin Ma, Yan Song, Eric Zhu, Shaowen Wang

I-GUIDE Forum

Urbanization has entered a new phase characterized by urban changes occurring at a micro-scale and “under the roof”, as opposed to external modifications. These changes, known as urban retrofitting, involve the incorporation of novel technologies or features into pre-existing systems to promote sustainability. Given the limitations of remote sensing images in identifying such urban changes, novel tools need to be developed for detecting urban retrofitting. In this study, we first build a pipeline to collect large-scale time-series urban street view images from Google Street View in Mecklenburg County, North Carolina. And we examine the feasibility of utilizing the acquired dataset …

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An Agent-Based Modeling Approach To Spatial Accessibility, Alexander C. Michels, Shaowen Wang Oct 2023

An Agent-Based Modeling Approach To Spatial Accessibility, Alexander C. Michels, Shaowen Wang

I-GUIDE Forum

Place-based spatial accessibility represents the ability of populations within geographic units to access goods and services, and thus is an important indicator for sustainable development. Existing spatial accessibility models treat population as simply demand, calculating statistics or optimizing average cost for the population within each geographic unit, rather than modeling individual decisions. This paper proposes AgentAccess, a general-purpose Agent-Based Model (ABM) for spatial accessibility analysis. An ABM framework brings us closer to reality by simulating individual and imperfect decision-making. We introduce the model and compare its results against existing spatial accessibility models using a case study of hospital beds in …

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Simple-G In The Classroom And The Cloud, Elizabeth A. Fraysse, Thomas W. Hertel, Zhan Wang, Iman Haqiqi Oct 2023

Simple-G In The Classroom And The Cloud, Elizabeth A. Fraysse, Thomas W. Hertel, Zhan Wang, Iman Haqiqi

I-GUIDE Forum

SIMPLE-G serves as a significant tool for researchers to address sustainability challenges, serving as a Convergence Catalyst for issues related to the global-local-global connections affecting land, water, and food security. This paper explores the pedagogical path of SIMPLE-G in the classroom setting, highlighting its key benefits in interdisciplinary education. Furthermore, we explore the future development of SIMPLE-G for facilitating collaborations between economists and other disciplines as well as increasing accessibility to users through cloud computing.

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Solving Geospatial Problems Under Extreme Time Constraints: A Call For Inclusive Geocomputational Education, Coline C. Dony Oct 2023

Solving Geospatial Problems Under Extreme Time Constraints: A Call For Inclusive Geocomputational Education, Coline C. Dony

I-GUIDE Forum

To prepare our next generation to face geospatial problems that have extreme time constraints (e.g., disasters, climate change) we need to create educational pathways that help students develop their geocomputational thinking skills. First, educators are central in helping us create those pathways, therefore, we need to clearly convey to them why and in which contexts this thinking is necessary. For that purpose, a new definition for geocomputational thinking is suggested that makes it clear that this thinking is needed for geospatial problems that have extreme time constraints. Secondly, we can not further burden educators with more demands, rather we should …

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I-Guide Climbers: A Model For Multidisciplinary Academic Labs For Early Career Development, Iman Haqiqi, Wei Hu, Ramya Kumaran, Pin-Ching Li, Nicholas Manning, Alex Michels, Ayman Nassar, Jinwoo Park, Jimeng Shi, Adam Tonks, Zhaonan Wang Oct 2023

I-Guide Climbers: A Model For Multidisciplinary Academic Labs For Early Career Development, Iman Haqiqi, Wei Hu, Ramya Kumaran, Pin-Ching Li, Nicholas Manning, Alex Michels, Ayman Nassar, Jinwoo Park, Jimeng Shi, Adam Tonks, Zhaonan Wang

I-GUIDE Forum

In this paper, we propose a new form of multidisciplinary academic collaboration that goes beyond the traditional modes of knowledge exchange. We argue that most research collaboration today is based on interactions between closely related disciplines, in which researchers share data, methods, and insights within a common framework or problem. However, such collaboration may not foster the development of the communication and management skills essential to a multi-disciplinary research career. Therefore, we suggest establishing a network of researchers from divergent, yet complementary, disciplines who are interested in improving these skills through regular interactions and feedback. The main goal of this …

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Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian Oct 2023

Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian

I-GUIDE Forum

Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities and beyond due to climate change's impacts on polar ice sheets and the ocean. This problem is challenging due to spatial variability and unknowns such as possible tipping points (e.g., collapse of Greenland or West Antarctic ice-shelf), climate feedback loops (e.g., clouds, permafrost thawing), future policy decisions, and human actions. Most existing climate modeling approaches use the same set of weights globally, during either regression or …

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