GIS methods to analyze land change

Type: Virtual Paper
Theme:
Sponsor Groups: Geographic Information Science and Systems Specialty Group, Remote Sensing Specialty Group, Spatial Analysis and Modeling Specialty Group
Poster #:
Day: 4/10/2021
Start / End Time: 3:05 PM / 4:20 PM (PDT)
Room: Virtual 21
Organizers: Thomas Bilintoh, Robert Pontius
Chairs: Thomas Bilintoh

Call for Submissions

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


Description

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.


Agenda

Type Details Minutes Start Time
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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