There are a plethora of datasets concerning land change, but these datasets can be challenging to analyze without the appropriate methods. This session critically engages with existing and novel GIS methods that facilitate land change analyses insightfully. Interested potential presenters should send their titles, abstracts, and PINs to the session chair Thomas Bilintoh at tbilintoh@clarku.edu
There are a plethora of datasets concerning land change, but these datasets can be challenging to analyze without the appropriate methods. This session critically engages with existing and novel GIS methods that facilitate land change analyses insightfully.
Type | Details | Minutes | Start Time |
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Presenter | Saeed Harati*, Université de Montréal, Liliana Perez, Université de Montréal, Roberto Molowny-Horas, CREAF, Robert Gilmore Pontius Jr, Clark University, Use of proximity as a baseline for comparison in validating models of irreversible land change | 15 | 3:05 PM |
Presenter | Huan Zhang*, Tianjin university, Tianjie Zhang, Tianjin university, Lei Wang, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Analysis of the Influence of POI-based Land Use Structure on Clustering Degree of Community Population | 15 | 3:20 PM |
Presenter | Priyanka Verma*, Clark University, Priscilla Ahn*, Clark University, Robert Gilmore Pontius Jr., Clark University, pontiPy: A Python Library for Detecting Change in a Cross-Tab Matrix | 15 | 3:35 PM |
Presenter | Robert Pontius*, Clark University, Zheyu Xie, Xiamen University, Jinliang Huang, Xiamen University, Vilas Nitivattananon, Asian Institute of Technology, Enhanced Intensity Analysis to quantify categorical change and to identify suspicious land transitions: a case study of Nanchang, China | 15 | 3:50 PM |
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