diff --git a/README.md b/README.md new file mode 100644 index 0000000000..337acb13b5 --- /dev/null +++ b/README.md @@ -0,0 +1 @@ +Source code for personal website at https://guiming.github.io/. diff --git a/articles/2013 - Acta Ecologica Sinica - Mapping wildlife habitat suitability using kernel density estimation.pdf b/articles/2013 - Acta Ecologica Sinica - Mapping wildlife habitat suitability using kernel density estimation.pdf new file mode 100644 index 0000000000..2410216132 Binary files /dev/null and b/articles/2013 - Acta Ecologica Sinica - Mapping wildlife habitat suitability using kernel density estimation.pdf differ diff --git a/articles/2015 - IJGIS - A citizen data-based predictive mapping approach.pdf b/articles/2015 - IJGIS - A citizen data-based predictive mapping approach.pdf new file mode 100644 index 0000000000..070d017f75 Binary files /dev/null and b/articles/2015 - IJGIS - A citizen data-based predictive mapping approach.pdf differ diff --git a/articles/2015 - JAG - Unification of soil feedback patterns.pdf b/articles/2015 - JAG - Unification of soil feedback patterns.pdf new file mode 100644 index 0000000000..6bee1cab51 Binary files /dev/null and b/articles/2015 - JAG - Unification of soil feedback patterns.pdf differ diff --git a/articles/2015 - RemoteSensing - Data-Gap Filling to Understand the Dynamic Feedback Pattern of Soil.pdf b/articles/2015 - RemoteSensing - Data-Gap Filling to Understand the Dynamic Feedback Pattern of Soil.pdf new file mode 100644 index 0000000000..5c7fc69473 Binary files /dev/null and b/articles/2015 - RemoteSensing - Data-Gap Filling to Understand the Dynamic Feedback Pattern of Soil.pdf differ diff --git a/articles/2016 - Geoderma - CyberSoLIM - A cyber platform for digital soil mapping.pdf b/articles/2016 - Geoderma - CyberSoLIM - A cyber platform for digital soil mapping.pdf new file mode 100644 index 0000000000..7077bd2d48 Binary files /dev/null and b/articles/2016 - Geoderma - CyberSoLIM - A cyber platform for digital soil mapping.pdf differ diff --git a/articles/2016 - 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TGIS - A heuristic-based approach for mitigating positional errors in patrol data for SDM.pdf b/articles/2018 - TGIS - A heuristic-based approach for mitigating positional errors in patrol data for SDM.pdf new file mode 100644 index 0000000000..8a2531609c Binary files /dev/null and b/articles/2018 - TGIS - A heuristic-based approach for mitigating positional errors in patrol data for SDM.pdf differ diff --git a/articles/2018 - TGIS - Validity of historical VGI-Supporting Information.pdf b/articles/2018 - TGIS - Validity of historical VGI-Supporting Information.pdf new file mode 100644 index 0000000000..0feea83281 Binary files /dev/null and b/articles/2018 - TGIS - Validity of historical VGI-Supporting Information.pdf differ diff --git a/articles/2018 - TGIS - Validity of historical VGI.pdf b/articles/2018 - TGIS - Validity of historical VGI.pdf new file mode 100644 index 0000000000..81932f8fed Binary files /dev/null and b/articles/2018 - TGIS - Validity of historical VGI.pdf differ diff --git a/articles/2019 - BDE - Enhancing VGI application semantics by accounting for spatial bias.pdf b/articles/2019 - BDE - Enhancing VGI application semantics by accounting for spatial bias.pdf new file mode 100644 index 0000000000..7cc7713b7f Binary files /dev/null and b/articles/2019 - BDE - Enhancing VGI application semantics by accounting for spatial bias.pdf differ diff --git a/articles/2019 - GEODERMA - Mitigating spatial bias in existing soil samples for DSM.pdf b/articles/2019 - GEODERMA - Mitigating spatial bias in existing soil samples for DSM.pdf new file mode 100644 index 0000000000..6b76359077 Binary files /dev/null and b/articles/2019 - GEODERMA - Mitigating spatial bias in existing soil samples for DSM.pdf differ diff --git a/articles/2019 - IJGIS - A representativeness directed approach to mitigate spatial bias in VGI.pdf b/articles/2019 - IJGIS - A representativeness directed approach to mitigate spatial bias in VGI.pdf new file mode 100644 index 0000000000..2615b13efb Binary files /dev/null and b/articles/2019 - IJGIS - A representativeness directed approach to mitigate spatial bias in VGI.pdf differ diff --git a/articles/2019 - WPM - Integrating Citizen Science and GIS for Wildlife Habitat Assessment.pdf b/articles/2019 - WPM - Integrating Citizen Science and GIS for Wildlife Habitat Assessment.pdf new file mode 100644 index 0000000000..76d51bffb5 Binary files /dev/null and b/articles/2019 - WPM - Integrating Citizen Science and GIS for Wildlife Habitat Assessment.pdf differ diff --git a/articles/2020 - ECOIND - Data Integration for Habitat Mapping.pdf b/articles/2020 - ECOIND - Data Integration for Habitat Mapping.pdf new file mode 100644 index 0000000000..979b93309e Binary files /dev/null and b/articles/2020 - ECOIND - Data Integration for Habitat Mapping.pdf differ diff --git a/articles/2020 - IJGI - Spatiotemporal Patterns in Volunteer Data Contribution Activities - eBird.pdf b/articles/2020 - IJGI - Spatiotemporal Patterns in Volunteer Data Contribution Activities - eBird.pdf new file mode 100644 index 0000000000..43ca118587 Binary files /dev/null and b/articles/2020 - 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- Clarence - Taylor -

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- 3542 Berry Street · Cheyenne Wells, CO 80810 · (317) 585-8468 · - name@email.com + + + + + + + + Guiming Zhang, Ph.D. + + + + + + + + + + + + + +
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+ Guiming + Zhang +

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+ 5050 E. Iliff Avenue, Boettcher West #240 · Denver, CO 80208 · (303) 871-7908 · + guiming.zhang@du.edu +
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I am an Associate Professor of GIScience in the Department of Geography & the Environment at the University of Denver, USA. My research interests span GIScience, volunteered geographic information (VGI), geospatial big data analytics, geospatial artificial intelligence (GeoAI), geovisualization/geovisual analytics, and high-performance geocomputation, with applications to social sensing and environmental modeling and mapping (species distribution modeling, habitat suitability mapping, digital soil mapping, etc.).

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Appointments

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University of Denver

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Department of Geography & the Environment
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Associate Professor | Assistant Professor
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University of Wisconsin-Madison

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Department of Geography
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Lecturer | Graduate Teaching Assistant
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Education

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University of Wisconsin-Madison

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Ph.D. Geography
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University of Wisconsin-Madison

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M.S. Computer Sciences
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Beijing Normal University

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M.S. Geographic Information Science
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Beijing Normal University

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B.S. Geographic Information Systems
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RESEARCH AREAS

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I am particularly interested in volunteered geographic information (VGI) and other forms of geospatial big data, geospatial artificial intelligence (GeoAI), and their applications to social sensing, as well as to environmental modeling and mapping. I am also interested in geocomputation as an enabler of such endeavors. My research at these fronts has led to quality publications in top GIScience journals including the International Journal of Geographical Information Science and Transactions in GIS. I was also invited to author the topic entry "Volunteered Geographic Information" in The Geographic Information Science & Technology Body of Knowledge, compiled by The University Consortium for Geographic Information Science, and to contribute a chapter on VGI and crowdsourcing to The Geoinformatics Frontier: AI, Big Data, and Crowdsourced Technologies.

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Volunteered Geographic Information

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Data quality of VGI (and other geospatia big data) is under constant scrutiny as it is a fundamental issue to address when using such kinds of data in geographic research. My research specifically contributes to developing novel methodologies for tackling spatial sampling/observation bias in geospatial big data (one of the prominent data quality issues) to improve the quality of inferences made from them, with practical applications in environmental modeling and mapping (e.g., species distribution modeling and digital soil mapping).

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[SS/VGI 39]   Gong X, Liu L, Lu Y, Zhang G, Huang X and Lin Y. (2026). Sleepless in America: A social sensing study of pandemic-era sleeplessness using nighttime social media data. PLOS One, 21(9): e0356547. + [Web] + [PDF]
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I am experienced in leveraging agile frameworks to provide a robust synopsis for high level overviews. Iterative approaches to corporate strategy foster collaborative thinking to further the overall value proposition.

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Experience

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Senior Web Developer

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Intelitec Solutions
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Bring to the table win-win survival strategies to ensure proactive domination. At the end of the day, going forward, a new normal that has evolved from generation X is on the runway heading towards a streamlined cloud solution. User generated content in real-time will have multiple touchpoints for offshoring.

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March 2013 - Present
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Social Sensing

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My social sensing research uses geotagged social media, VGI, and other human-generated digital traces to observe population-level behaviors, perceptions, interactions, and responses to societal and environmental events. This work develops scalable spatial and temporal approaches for understanding social dynamics and supporting public health, disaster response, and urban research.

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[SS/VGI 39]   Gong X, Liu L, Lu Y, Zhang G, Huang X and Lin Y. (2026). Sleepless in America: A social sensing study of pandemic-era sleeplessness using nighttime social media data. PLOS One, 21(9): e0356547. + [Web] + [PDF]
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Web Developer

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Intelitec Solutions
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Capitalize on low hanging fruit to identify a ballpark value added activity to beta test. Override the digital divide with additional clickthroughs from DevOps. Nanotechnology immersion along the information highway will close the loop on focusing solely on the bottom line.

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December 2011 - March 2013
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[SS/VGI 38]   Zhang G. (2026). Volunteered geographic information and crowdsourcing in geographic practice: A unifying conceptual framework. In: Kalogeropoulos, K., Tsatsaris, A., Antoniou, V., and Huang, X. (Eds.): The Geoinformatics Frontier: AI, Big Data, and Crowdsourced Technologies. Elsevier, pp. 423-434. + [Web] + [PDF]
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Junior Web Designer

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Shout! Media Productions
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Podcasting operational change management inside of workflows to establish a framework. Taking seamless key performance indicators offline to maximise the long tail. Keeping your eye on the ball while performing a deep dive on the start-up mentality to derive convergence on cross-platform integration.

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July 2010 - December 2011
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[SS/VGI 35]   Xu J# and Zhang G. (2026). Changes in Individual OpenStreetMap contributors' contribution behavior under COVID-19: A case study in New York City. ISPRS International Journal of Geo-Information, 15(3): 121. + [Web] + [PDF]
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Web Design Intern

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Shout! Media Productions
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Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without revolutionary ROI.

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September 2008 - June 2010
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[SS/VGI 33]   Lu Y, Gong X, Zhang G, Brown C P, Lin Y C and Lin Y. (2026). Exploring contemporary public perceptions of historical redlining practices in the United States. Computational Urban Science, 6(1). + [Web] + [PDF]
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Education

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University of Colorado Boulder

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Bachelor of Science
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Computer Science - Web Development Track
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GPA: 3.23

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August 2006 - May 2010
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[SS/VGI/GVA 32]   Zhang G, Luo W, Wu M and Ye L. (2025). Exploring social interaction patterns and drivers in VGI communities using a custom geovisual analytics tool. Annals of GIS, 31(3): 413-431. + [Web] + [PDF] + [Demo] + [Code]
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James Buchanan High School

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Technology Magnet Program
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GPA: 3.56

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August 2002 - May 2006
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[SS/VGI/GVA 31]   Zhang G. (2025). A web-based geovisualization framework for exploratory analysis of individual VGI contributor's participation characteristics. Cartography and Geographic Information Science, 52(2): 199-219. + [Web] + [PDF] + [Demo] + [Code]
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Skills

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Programming Languages & Tools
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Interests

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Apart from being a web developer, I enjoy most of my time being outdoors. In the winter, I am an avid skier and novice ice climber. During the warmer months here in Colorado, I enjoy mountain biking, free climbing, and kayaking.

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When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I am an aspiring chef, and I spend a large amount of my free time exploring the latest technology advancements in the front-end web development world.

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Awards & Certifications

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  • - - Google Analytics Certified Developer -
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  • - - 1 - st - Place - University of Colorado Boulder - Emerging Tech Competition 2009 -
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    [SS/VGI 30]   Huang X, Wang S, Yang D, Hu T, Chen M, Zhang M, Zhang G, Biljecki F, Lu T, Zou L, Wu C Y, Park Y M, Li X, Liu Y, Fan H, Mitchell J, Li Z and Hohl A. (2024). Crowdsourcing geospatial data for Earth and human observations: a review. Journal of Remote Sensing, 4: 0105. + [Web] + [PDF] +
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    [SS/VGI/GVA 29]   Zhang G, Gong X and Zhu D. (2024). Geographic proximity and homophily effects drive social interactions within VGI communities: an example of iNaturalist. International Journal of Digital Earth, 17(1): 2297948. + [Web] + [PDF] +
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    [SS/VGI/GVA 28]   Kottwitz M#, Zhang G* and Xu J. (2023). The time- and distance-decay effects of hurricane relevancy on social media: an empirical study of three hurricanes in the United States. Annals of GIS, 29(4): 469-484. + [Web] + [PDF] +
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    [SS/VGI/GVA 20]   Zhang G. (2020). Spatial and temporal patterns in volunteer data contribution activities: A case study of eBird. ISPRS International Journal of Geo-Information, 9(10): 597. + [Web] + [PDF] +
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    [SS/VGI/GC 8]   Huang Q, Cervone G, Zhang G. (2017). A cloud-enabled automatic disaster analysis system of multi-sourced data streams: An example synthesizing social media, remote sensing and Wikipedia data. Computers, Environment and Urban Systems, 66: 23-37. + [Web] + [PDF] +
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    Geovisualization and Geovisual Analytics

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    Bias mitigation for VGI (and other geospatial big data) should be grounded in a sound understanding of the processes through which the data is generated. For instance, biases in VGI largely stem from VGI contributors’ observation efforts. My research employs geovisualization and geovisual analytics to examine the patterns and drivers of VGI contributors’ data contribution activities, including inter-contributor social interactions. Such endeavors provide a deeper understanding of VGI data and its quality, which informs bias mitigation and proper use of VGI data. My GVA work also helps make sense of how environmental modeling methods work by making their underlying geographic principles, model mechanics, and parameter effects visually inspectable.

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    [GVA/EM 36]   Zhang G. (2026). Demystifying Geographic "Laws" for Soil Mapping via Interactive Geovisualization. ISPRS International Journal of Geo-Information, 15(5): 212. + [Web] + [PDF] + [Demo] +
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    [SS/VGI/GVA 32]   Zhang G, Luo W, Wu M and Ye L. (2025). Exploring social interaction patterns and drivers in VGI communities using a custom geovisual analytics tool. Annals of GIS, 31(3): 413-431. + [Web] + [PDF] + [Demo] + [Code] +
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    [SS/VGI/GVA 31]   Zhang G. (2025). A web-based geovisualization framework for exploratory analysis of individual VGI contributor's participation characteristics. Cartography and Geographic Information Science, 52(2): 199-219. + [Web] + [PDF] + [Demo] + [Code] +
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    [SS/VGI/GVA 29]   Zhang G, Gong X and Zhu D. (2024). Geographic proximity and homophily effects drive social interactions within VGI communities: an example of iNaturalist. International Journal of Digital Earth, 17(1): 2297948. + [Web] + [PDF] +
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    [SS/VGI/GVA 28]   Kottwitz M#, Zhang G* and Xu J. (2023). The time- and distance-decay effects of hurricane relevancy on social media: an empirical study of three hurricanes in the United States. Annals of GIS, 29(4): 469-484. + [Web] + [PDF] +
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    [VGI/GC/GVA 26]   Zhang G and Xu J. (2023). Multi-GPU-parallel and tile-based kernel density estimation for large-scale spatial point pattern analysis. ISPRS International Journal of Geo-Information, 12(2): 31. + [Web] + [PDF] + [Code] +
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    [VGI/GVA/GC 23]   Zhang G. (2022). Detecting and visualizing observation hot-spots in massive volunteer-contributed geographic data across spatial scales using GPU-accelerated kernel density estimation. ISPRS International Journal of Geo-Information, 11(1): 55. + [Web] + [PDF] + [Code] +
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    [SS/VGI/GVA 20]   Zhang G. (2020). Spatial and temporal patterns in volunteer data contribution activities: A case study of eBird. ISPRS International Journal of Geo-Information, 9(10): 597. + [Web] + [PDF] +
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    [OT 9]   Roth R, Young S, Nestel C, Sack C, Davidson B, Janicki J, Knoppe-Wetzel V, Ma F, Mead R, Rose C, Zhang G. (2018). Global landscapes: Teaching globalization through responsive mobile map design. The Professional Geographer, 70(3): 395-411. + [Web] + [PDF] +
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    Environmental Modeling

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    My research develops new methods and computational tools for enviornmental modeling (e.g., species distribution modeling and digital soil mapping). The developed methods and tools are capable of accounting for spatial sampling/observation bias and integrating multi-source data and can exploit heterogeneous computing resources for parallel computing to accelerate modeling involving geospatial big data.

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    [GeoAI/EM 37]   Mitra B# and Zhang G. (2026). Downscaling urban land surface temperature using AlphaEarth satellite GeoAI embeddings: A cross-city evaluation in the US. Urban Climate, 103058. + [Web] + [PDF] +
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    [GVA/EM 36]   Zhang G. (2026). Demystifying Geographic "Laws" for Soil Mapping via Interactive Geovisualization. ISPRS International Journal of Geo-Information, 15(5): 212. + [Web] + [PDF] + [Demo] +
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    [GeoAI/EM 34]   Mitra B# and Zhang G. (2026). GeoAI-Enabled Ensemble Modeling to Assess Land Use and Atmospheric Pollutant Impacts on Land Surface Temperature in the US Southwest. Remote Sensing, 18(5): 746. + [Web] + [PDF] +
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    [EM 27]   Luo W. and Zhang G. (2023). Advances and applications of geospatial modeling and analysis in digital twins. Frontiers in Earth Science, 11: 1226466. + [Web] + [PDF] +
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    [VGI/EM 25]   Zhang G. (2022). Mitigating spatial bias in volunteered geographic information for spatial modeling and prediction." in: Li, B., Shi, X., Zhu, A.X., Wang, C., and Lin, H. (Eds.): New Thinking in GIScience. Springer Nature, Singapore, pp. 179-190.  + [Web] + [PDF] +
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    [GC/EM 24]   Zhang G. (2022). PyCLKDE: A big data-enabled high-performance computational framework for species habitat suitability modeling and mapping. Transactions in GIS,  26(4): 1754-1774. + [Web] + [PDF] + [Code] +
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    [GC/EM 22]   Zhang G, Zhu, A, Liu J, Guo S, Zhu Y. (2021). PyCLiPSM: Harnessing heterogeneous computing resources on CPUs and GPUs for accelerated digital soil mapping. Transactions in GIS, 25(3): 1396-1418. + [Web] + [PDF] + [Code] +
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    [EM 18]   Zhang G, Zhu A, He Y, Huang Z, Ren G, Xiao W. (2020). Integrating multi-source data for wildlife habitat mapping: A case study of the black-and-white snub-nosed monkey (Rhinopithecus bieti) in Yunnan, China. Ecological Indicators, 118: 106735. + [Web] + [PDF] +
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    [EM 16]   Zhang G, Zhu A. (2019). A representativeness heuristic for mitigating spatial bias in existing soil samples for digital soil mapping. Geoderma, 351: 130–143. + [Web] + [PDF] +
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    [VGI/EM 15]   Zhang G, Zhu A. (2019). A representativeness directed approach to spatial bias mitigation in VGI for predictive mapping. International Journal of Geographical Information Science, 33(9): 1873–1893. + [Web] + [PDF] +
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    [VGI/EM 14]   Zhang G. (2019). Integrating citizen science and GIS for wildlife population monitoring and habitat assessment." in: Ferretti, M. (Eds.): Wildlife Population Monitoring. IntechOpen Limited, London, UK, pp. 1-14.  + [Web] + [PDF] +
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    [EM 12]   Zhang G, Zhu A, Windels S, Qin C. (2018). Modelling species habitat suitability from presence-only data using kernel density estimation. Ecological Indicators, 93: 387-396. + [Web] + [PDF] +
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    [EM 11]   Zhang G, Zhu A, Huang Z, Xiao W. (2018). A heuristic-basedapproach to mitigating positional errors in patrol data for species distribution modeling. Transactions in GIS, 22(1): 202-216. + [Web] + [PDF] +
    + +
    [GC/EM 5]   Jiang J, Zhu A, Qin C, Zhu T, Liu J, Du F, Liu J, Zhang G, An Y. (2016). CyberSoLIM: A cyber platform for digital soil mapping. Geoderma, 263: 234-243. + [Web] + [PDF] +
    + +
    [EM 4]   Guo S, Meng L, Zhu A, Burt J, Du F, Liu J, Zhang G. (2015).Unification of soil feedback patterns under different evaporation conditions to improve soil differentiation over flat area. International Journal of Applied Earth Observation and Geoinformation, 49: 126-137. + [Web] + [PDF] +
    + +
    [EM 3]   Guo S, Meng L, Zhu A, Burt J, Du F, Liu J, Zhang G. (2015). Data-gap filling to understand the dynamic feedback pattern of soil.. Remote Sensing, 7: 11801–11820. + [Web] + [PDF] +
    + +
    [EM 1]   张桂铭, 朱阿兴, 杨胜天, 秦承志, 肖文, Steve K. Windels. (2013). 基于核密度估计的动物生境适宜度制图方法. 生态学报, 33(23): 7590-7600. Zhang G, Zhu A, Yang S, Qin C, Xiao W, Windels S. (2013). Mapping wildlife habitat suitability using kernel density estimation. Acta Ecologica Sinica, + 33(23): 7590-7600.  + [Web] + [PDF]  +
    + +

    Geospatial Artificial Intelligence

    +

    My GeoAI research applies machine learning, ensemble modeling, and geospatial foundation-model embeddings to environmental and urban-climate problems. I am particularly interested in developing transferable methods that integrate satellite observations and other geospatial data for fine-scale prediction and cross-city analysis.

    + +
    [GeoAI/EM 37]   Mitra B# and Zhang G. (2026). Downscaling urban land surface temperature using AlphaEarth satellite GeoAI embeddings: A cross-city evaluation in the US. Urban Climate, 103058. + [Web] + [PDF] +
    + +
    [GeoAI/EM 34]   Mitra B# and Zhang G. (2026). GeoAI-Enabled Ensemble Modeling to Assess Land Use and Atmospheric Pollutant Impacts on Land Surface Temperature in the US Southwest. Remote Sensing, 18(5): 746. + [Web] + [PDF] +
    + +

    Geo-computation

    +

    There is an increasing need to address computational challenges associated with geospatial big data analytics in order to keep pace with the ever-faster-growing big data volume and analytical complexity. Traditional spatial analysis tools often are unable to handle big geospatial data efficiently, and therefore computational challenges occur when applying these methods on geospatial big data. My research with this regard develops algorithmic optimizations for spatial analysis methods and utilizes cutting-edge computing technologies such as cloud computing and GPU (graphics processing units) computing to accelerate the algorithms to support geospatial big data analytics (i.e., spatial point pattern analysis of massive VGI data).

    + +
    [VGI/GC/GVA 26]   Zhang G and Xu J. (2023). Multi-GPU-parallel and tile-based kernel density estimation for large-scale spatial point pattern analysis. ISPRS International Journal of Geo-Information, 12(2): 31. + [Web] + [PDF] + [Code] +
    + +
    [GC/EM 24]   Zhang G. (2022). PyCLKDE: A big data-enabled high-performance computational framework for species habitat suitability modeling and mapping. Transactions in GIS,  26(4): 1754-1774. + [Web] + [PDF] + [Code] +
    + +
    [VGI/GVA/GC 23]   Zhang G. (2022). Detecting and visualizing observation hot-spots in massive volunteer-contributed geographic data across spatial scales using GPU-accelerated kernel density estimation. ISPRS International Journal of Geo-Information, 11(1): 55. + [Web] + [PDF] + [Code] +
    + +
    [GC/EM 22]   Zhang G, Zhu, A, Liu J, Guo S, Zhu Y. (2021). PyCLiPSM: Harnessing heterogeneous computing resources on CPUs and GPUs for accelerated digital soil mapping. Transactions in GIS, 25(3): 1396-1418. + [Web] + [PDF] + [Code] +
    + +
    [SS/VGI/GC 8]   Huang Q, Cervone G, Zhang G. (2017). A cloud-enabled automatic disaster analysis system of multi-sourced data streams: An example synthesizing social media, remote sensing and Wikipedia data. Computers, Environment and Urban Systems, 66: 23-37. + [Web] + [PDF] +
    + +
    [GC 7]   Zhang G, Zhu A, Huang Q. (2017). A GPU-accelerated adaptive kernel density estimation approach for efficient point pattern analysis on spatial big data. International Journal of Geographical Information Science, 31(10): 2068-2097. + [Web] + [PDF] + [Code] +
    + +
    [GC 6]   Zhang G, Huang Q, Zhu A, Keel J. (2016). Enabling point pattern analysis on spatial big data using cloud computing: Optimizing and accelerating Ripley’s K function. International Journal of Geographical Information Science, 30(11): 2230–2252. + [Web] + [PDF] + [Code] +
    + +
    [GC/EM 5]   Jiang J, Zhu A, Qin C, Zhu T, Liu J, Du F, Liu J, Zhang G, An Y. (2016). CyberSoLIM: A cyber platform for digital soil mapping. Geoderma, 263: 234-243. + [Web] + [PDF] +
    + +

    Other Topics

    +

    I also collaborate on broader GIScience applications beyond my core research areas, including urban and social-spatial analysis.

    + +
    [OT 9]   Roth R, Young S, Nestel C, Sack C, Davidson B, Janicki J, Knoppe-Wetzel V, Ma F, Mead R, Rose C, Zhang G. (2018). Global landscapes: Teaching globalization through responsive mobile map design. The Professional Geographer, 70(3): 395-411. + [Web] + [PDF] +
    + +
+ +
+ +
+ +
+
+

Publications

+ +
+ [VGI] - Volunteered Geographic Information
+ [SS] - Social Sensing
+ [GVA] - Geovisualization and Geovisual Analytics
+ [EM] - Environmental Modeling
+ [GeoAI] - Geospatial Artificial Intelligence
+ [GC] - GeoCompuation
+ [OT] - Other +
+ +
+
+

Refereed Journal Articles

+
* Corresponding Author  # Student Author
+
+ +
[SS/VGI 39]   Gong X, Liu L, Lu Y, Zhang G, Huang X and Lin Y. (2026). Sleepless in America: A social sensing study of pandemic-era sleeplessness using nighttime social media data. PLOS One, 21(9): e0356547. + [Web] + [PDF] +
+ +
[GeoAI/EM 37]   Mitra B# and Zhang G. (2026). Downscaling urban land surface temperature using AlphaEarth satellite GeoAI embeddings: A cross-city evaluation in the US. Urban Climate, 103058. + [Web] + [PDF] +
+ +
[GVA/EM 36]   Zhang G. (2026). Demystifying Geographic "Laws" for Soil Mapping via Interactive Geovisualization. ISPRS International Journal of Geo-Information, 15(5): 212. + [Web] + [PDF] + [Demo] +
+ +
[SS/VGI 35]   Xu J# and Zhang G. (2026). Changes in Individual OpenStreetMap contributors' contribution behavior under COVID-19: A case study in New York City. ISPRS International Journal of Geo-Information, 15(3): 121. + [Web] + [PDF] +
+ +
[GeoAI/EM 34]   Mitra B# and Zhang G. (2026). GeoAI-Enabled Ensemble Modeling to Assess Land Use and Atmospheric Pollutant Impacts on Land Surface Temperature in the US Southwest. Remote Sensing, 18(5): 746. + [Web] + [PDF] +
+ +
[SS/VGI 33]   Lu Y, Gong X, Zhang G, Brown C P, Lin Y C and Lin Y. (2026). Exploring contemporary public perceptions of historical redlining practices in the United States. Computational Urban Science, 6(1). + [Web] + [PDF] +
+ +
[SS/VGI/GVA 32]   Zhang G, Luo W, Wu M and Ye L. (2025). Exploring social interaction patterns and drivers in VGI communities using a custom geovisual analytics tool. Annals of GIS, 31(3): 413-431. + [Web] + [PDF] + [Demo] + [Code] +
+ +
[SS/VGI/GVA 31]   Zhang G. (2025). A web-based geovisualization framework for exploratory analysis of individual VGI contributor's participation characteristics. Cartography and Geographic Information Science, 52(2): 199-219. + [Web] + [PDF] + [Demo] + [Code] +
+ +
[SS/VGI 30]   Huang X, Wang S, Yang D, Hu T, Chen M, Zhang M, Zhang G, Biljecki F, Lu T, Zou L, Wu C Y, Park Y M, Li X, Liu Y, Fan H, Mitchell J, Li Z and Hohl A. (2024). Crowdsourcing geospatial data for Earth and human observations: a review. Journal of Remote Sensing, 4: 0105. + [Web] + [PDF] +
+ +
[SS/VGI/GVA 29]   Zhang G, Gong X and Zhu D. (2024). Geographic proximity and homophily effects drive social interactions within VGI communities: an example of iNaturalist. International Journal of Digital Earth, 17(1): 2297948. + [Web] + [PDF] +
+ +
[SS/VGI/GVA 28]   Kottwitz M#, Zhang G* and Xu J. (2023). The time- and distance-decay effects of hurricane relevancy on social media: an empirical study of three hurricanes in the United States. Annals of GIS, 29(4): 469-484. + [Web] + [PDF] +
+ +
[EM 27]   Luo W. and Zhang G. (2023). Advances and applications of geospatial modeling and analysis in digital twins. Frontiers in Earth Science, 11: 1226466. + [Web] + [PDF] +
+ +
[VGI/GC/GVA 26]   Zhang G and Xu J. (2023). Multi-GPU-parallel and tile-based kernel density estimation for large-scale spatial point pattern analysis. ISPRS International Journal of Geo-Information, 12(2): 31. + [Web] + [PDF] + [Code] +
+ +
[GC/EM 24]   Zhang G. (2022). PyCLKDE: A big data-enabled high-performance computational framework for species habitat suitability modeling and mapping. Transactions in GIS,  26(4): 1754-1774. + [Web] + [PDF] + [Code] +
+ +
[VGI/GVA/GC 23]   Zhang G. (2022). Detecting and visualizing observation hot-spots in massive volunteer-contributed geographic data across spatial scales using GPU-accelerated kernel density estimation. ISPRS International Journal of Geo-Information, 11(1): 55. + [Web] + [PDF] + [Code] +
+ +
[GC/EM 22]   Zhang G, Zhu, A, Liu J, Guo S, Zhu Y. (2021). PyCLiPSM: Harnessing heterogeneous computing resources on CPUs and GPUs for accelerated digital soil mapping. Transactions in GIS, 25(3): 1396-1418. + [Web] + [PDF] + [Code] +
+ +
[VGI 21]   Zhang G. (2021). Volunteered Geographic Information. The Geographic Information Science & Technology Body of Knowledge (1st Quarter 2021 Edition): John P. Wilson (Ed.). doi: 10.22224/gistbok/2021.1.1. + [Web] +
+ +
[SS/VGI/GVA 20]   Zhang G. (2020). Spatial and temporal patterns in volunteer data contribution activities: A case study of eBird. ISPRS International Journal of Geo-Information, 9(10): 597. + [Web] + [PDF] +
+ +
[VGI 19]   Zhang G, Zhu A. (2020). Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation. Transactions in GIS, 24(5): 1315–1340. + [Web] + [PDF] +
+ +
[EM 18]   Zhang G, Zhu A, He Y, Huang Z, Ren G, Xiao W. (2020). Integrating multi-source data for wildlife habitat mapping: A case study of the black-and-white snub-nosed monkey (Rhinopithecus bieti) in Yunnan, China. Ecological Indicators, 118: 106735. + [Web] + [PDF] +
+ +
[VGI 17]   Zhang G. (2019). Enhancing VGI application semantics by accounting for spatial bias. Big Earth Data, 3(3): 255-268. + [Web] + [PDF] +
+ +
[EM 16]   Zhang G, Zhu A. (2019). A representativeness heuristic for mitigating spatial bias in existing soil samples for digital soil mapping. Geoderma, 351: 130–143. + [Web] + [PDF] +
+ +
[VGI/EM 15]   Zhang G, Zhu A. (2019). A representativeness directed approach to spatial bias mitigation in VGI for predictive mapping. International Journal of Geographical Information Science, 33(9): 1873–1893. + [Web] + [PDF] +
+ +
[VGI 13]   Zhang G, Zhu A. (2018). The representativeness and spatial bias of volunteered geographic information: a review. Annals of GIS, 24(3): 151–162. + [Web] + [PDF] +
+ +
[EM 12]   Zhang G, Zhu A, Windels S, Qin C. (2018). Modelling species habitat suitability from presence-only data using kernel density estimation. Ecological Indicators, 93: 387-396. + [Web] + [PDF] +
+ +
[EM 11]   Zhang G, Zhu A, Huang Z, Xiao W. (2018). A heuristic-basedapproach to mitigating positional errors in patrol data for species distribution modeling. Transactions in GIS, 22(1): 202-216. + [Web] + [PDF] +
+ +
[VGI 10]   Zhang G, Zhu A, Huang Z, Ren G, Qin C, Xiao W. (2018). Validity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena. Transactions in GIS, 22(1): 149–164. + [Web] + [PDF] +
+ +
[OT 9]   Roth R, Young S, Nestel C, Sack C, Davidson B, Janicki J, Knoppe-Wetzel V, Ma F, Mead R, Rose C, Zhang G. (2018). Global landscapes: Teaching globalization through responsive mobile map design. The Professional Geographer, 70(3): 395-411. + [Web] + [PDF] +
+ +
[SS/VGI/GC 8]   Huang Q, Cervone G, Zhang G. (2017). A cloud-enabled automatic disaster analysis system of multi-sourced data streams: An example synthesizing social media, remote sensing and Wikipedia data. Computers, Environment and Urban Systems, 66: 23-37. + [Web] + [PDF] +
+ +
[GC 7]   Zhang G, Zhu A, Huang Q. (2017). A GPU-accelerated adaptive kernel density estimation approach for efficient point pattern analysis on spatial big data. International Journal of Geographical Information Science, 31(10): 2068-2097. + [Web] + [PDF] + [Code] +
+ +
[GC 6]   Zhang G, Huang Q, Zhu A, Keel J. (2016). Enabling point pattern analysis on spatial big data using cloud computing: Optimizing and accelerating Ripley’s K function. International Journal of Geographical Information Science, 30(11): 2230–2252. + [Web] + [PDF] + [Code] +
+ +
[GC/EM 5]   Jiang J, Zhu A, Qin C, Zhu T, Liu J, Du F, Liu J, Zhang G, An Y. (2016). CyberSoLIM: A cyber platform for digital soil mapping. Geoderma, 263: 234-243. + [Web] + [PDF] +
+ +
[EM 4]   Guo S, Meng L, Zhu A, Burt J, Du F, Liu J, Zhang G. (2015). Unification of soil feedback patterns under different evaporation conditions to improve soil differentiation over flat area. International Journal of Applied Earth Observation and Geoinformation, 49: 126-137. + [Web] + [PDF] +
+ +
[EM 3]   Guo S, Meng L, Zhu A, Burt J, Du F, Liu J, Zhang G. (2015). Data-gap filling to understand the dynamic feedback pattern of soil.. Remote Sensing, 7: 11801–11820. + [Web] + [PDF] +
+ +
[VGI/EM 2]   Zhu A, Zhang G*, Wang W, Xiao W, Huang Z, Dunzhu G, Ren G, Qin C, Yang L, Pei T, Yang S. (2015). A citizen data-based approach to predictive mapping of spatial variation of natural phenomena. International Journal of Geographical Information Science, 29(10): 1864–1886. + [Web] + [PDF] +
+ +
[EM 1]   张桂铭, 朱阿兴, 杨胜天, 秦承志, 肖文, Steve K. Windels. (2013). 基于核密度估计的动物生境适宜度制图方法. 生态学报, 33(23): 7590-7600. Zhang G, Zhu A, Yang S, Qin C, Xiao W, Windels S. (2013). Mapping wildlife habitat suitability using kernel density estimation. Acta Ecologica Sinica, + 33(23): 7590-7600.  + [Web] + [PDF]  +
+ +
+
+
+ + + +
+
+

Refereed Book Chapters

+ +
[SS/VGI 38]   Zhang G. (2026). Volunteered geographic information and crowdsourcing in geographic practice: A unifying conceptual framework. In: Kalogeropoulos, K., Tsatsaris, A., Antoniou, V., and Huang, X. (Eds.): The Geoinformatics Frontier: AI, Big Data, and Crowdsourced Technologies. Elsevier, pp. 423-434.  + [Web] + [PDF] +
+ +
[VGI/EM 25]   Zhang G. (2022). Mitigating spatial bias in volunteered geographic information for spatial modeling and prediction." in: Li, B., Shi, X., Zhu, A.X., Wang, C., and Lin, H. (Eds.): New Thinking in GIScience. Springer Nature, Singapore, pp. 179-190.  + [Web] + [PDF] +
+ +
[VGI/EM 14]   Zhang G. (2019). Integrating citizen science and GIS for wildlife population monitoring and habitat assessment." in: Ferretti, M. (Eds.): Wildlife Population Monitoring. IntechOpen Limited, London, UK, pp. 1-14.  + [Web] + [PDF] +
+
+
+ +
+
+

Dissertation

+
Zhang G. (2018). A Representativeness Directed Approach to Spatial Bias Mitigation in VGI for Predictive Mapping. The University of Wisconsin-Madison. [Web]
+
+
+
+
+ +
+ + +
+
+

Teaching

+ +
University of Denver
+
    +
  • + + GEOG 2000  Geographic Statistics +
    • + +
  • + + GEOG 2100  Introduction to Geographic Information Systems +
    • + +
  • + + GEOG 3120/4120  Environmental GIS Modeling +
    • +
  • + + GEOG 3140/4140  GIS Database Design +
    • +
  • + + GEOG 3165/4165  Geospatial Artificial Intelligence +
    • +
+ +
University of Wisconsin-Madison
+
    +
  • + + Geography 377  An Introduction to Geographic Information System  
    • +
  • + + Geography 576 Geospatial Web and Mobile Programming [Online]
    • +
  • + + Geography 579  GIS and Spatial Analysis [Online]  
    • +
+ +
+
+ +
+ + +
+
+

Students

+
+
+ +

Doctoral

+
    +
  • + Farzana Jamal (advisor)    2026 – present +
    • +
  • + Jin Xu (advisor)    2021 – present +
    • +
  • + Xuefei Zhang (dissertation committee member)    2025 – present +
    • +
+

Masters

+
    +
  • + Bijoy Mitra (advisor)    2025 – present +
    • + +
  • + Oblanuju Emmanuel (advisor)    2023 – 2024 +
    • + +
  • + Mackenzie Kottwitz (advisor)    2020 – 2022 +
    • + +
  • + Gina Girgente (thesis committee member)    2025 – 2026 +
    • + +
  • + Mya Moore (thesis committee member)    2025 – 2026 +
    • + +
  • + Kristen Burgess (thesis committee member)    2025 – 2026 +
    • + +
  • + Unisha Ghimire (thesis committee member)    2025 – 2026 +
    • + +
  • + Alex Van De Water (thesis committee member)    2024 – 2025 + [StoryMap] + [Experience 1] + [Experience 2] +
    • + +
  • + Ashmita Dhakal (thesis committee member)    2024 – 2025 +
    • + +
  • + Elena Arroway (thesis committee member)    2023 – 2024 +
    • + +
  • + Erin Lammott (thesis committee member)    2023 – 2024 +
    • + +
  • + Joe Hiebert (independent study advisor, thesis committee member)    2021 – 2022 + [Flowmap] +
    • + +
  • + Jennifer Murdock (thesis committee member)    2020 – 2021 +
    • + +
  • + Matt Hugel (thesis committee member)    2019 – 2020 +
    • + +
  • + Sophie-Min Thomson (thesis committee member)    2019 – 2020 +
    • + +
  • + Hayley Miller (thesis committee member)    2019 – 2020 +
    • +
+ +

Undergraduate

+
    +
  • + Gillian Bush (honors thesis co-advisor)    2026 +
    • +
  • + Nissa Tapper (independent study advisor)    2026 + [StoryMap] +
    • +
  • + Juanlin Liu (independent study advisor)    2022 + [StoryMap] +
    • +
  • + Chloe Pepke (honors thesis co-advisor)    2020 +
    • +
  • + Mark Ludke (independent study advisor)    2020 +
    • +
+ +
+
+
+ +
+ + +
+
+

Service

+
+
+

University of Denver (DU)

+
University
+
    +
  • + + Committee Member. PROF Selection Committee Social Science Methods +    2023 Spring
    • + +
  • + + Senator. DU Faculty Senate +    2025 Fall - present
    • + +
  • + + Committee Member. Faculty Senate Academic Planning Committee +    2025 Fall - present
    • +
  • - - 1 - st - Place - University of Colorado Boulder - Adobe Creative Jam 2008 (UI Design Category) -
    • + + Committee Member. Provost's Goal 2 Committee: Improve career outcomes and better prepare our students to succeed and lead in an AI-transformed workforce +    2025 Fall - present + +
  • + + Proposal Reviewer. FRF Proposal Review Committee +    2025 Winter
    • + +
  • + + Proposal Reviewer. CEGAIA Curricular Innovation Proposal Review Committee +    2025 Winter
    • +
+ +
College of Natural Sciences and Mathematics (NSM)
+
    +
  • + + Department Representative. NSM Center for Innovative Teaching +    2021 Fall - 2023 Spring
    • + +
  • + + Committee Member. NSM Sustainability Committee +    2025 Fall - present
    • +
+ +
Department of Geography & the Environment
+
  • - - 2 - nd - Place - University of Colorado Boulder - Emerging Tech Competition 2008 -
    • + + Faculty Director. Geovisualization Laboratory +    2019 - present +
  • - - 1 - st - Place - James Buchanan High School - Hackathon 2006 -
    • + + Committee Member. Herold Fund Proposal Faculty Review Committee +    2025 Spring - present +
  • - - 3 - rd - Place - James Buchanan High School - Hackathon 2005 -
    • -
-
-
- - - - - - - + + Geography Colloquium Coordinator. +    2023 Spring - 2024 Spring + +
  • + + Committee Member. Geography Colloquium Committee +    2024 Fall - 2025 Spring
    • + +
  • + + Committee Member. Visiting Teaching Assistant Professor Search Committee (Urban Geography) +    2022 Spring
    • + +
  • + + Committee Member. Tenure-Track Assistant Professor Search Committee (Remote Sensing) +    2023 Fall - 2024 Winter
    • + +
  • + + Committee Member. Visiting Teaching Assistant Professor Search Committee (Remote Sensing) +    2024 Spring
    • + + +

    Professional Community

    + + +

    Conference Organization

    + + +

    Journal Reviewer

    + + + + + + + + + +
    + + +
    +
    +

    Awards & Honors

    + +
    +
    + + + + + + +