Quantitative methods for GIS-based land systems science

Type: Paper
Sponsor Groups: Spatial Analysis and Modeling Specialty Group, Geographic Information Science and Systems Specialty Group, Remote Sensing Specialty Group
Poster #:
Day: 4/13/2018
Start / End Time: 8:00 AM / 9:40 AM (MDT)
Room: Southdown, Sheraton, 4th Floor
Organizers: Robert Pontius
Chairs: Robert Pontius


This paper session concerns GIS-based quantitative methods that land systems scientists use, misuse, or should use. The focus is on the mathematical properties of the methods, not necessarily specific applications to case studies. For example, one paper concerns the properties of a measurement called the Comprehensive Land Use Dynamic Degree, which is popular especially in China. We welcome papers that debate various methods to compare maps. We are interested in techniques to communicate historical change and algorithms to simulate future change. We want papers concerning how to compare two maps of polygons that derive from object based image analysis. We want to gain insights into the mathematical properties of the plethora of available pattern metrics. We aim to highlight methods that have various applications. To see whether your idea is a good fit, please write to the session organizer Professor Robert Gilmore Pontius Jr (rpontius@clarku.edu).


Type Details Minutes Start Time
Presenter Florencia Sangermano*, Graduate School of Geography - Clark University, Improving deforestation scenarios for REDD and biodiversity co-benefits. 20 8:00 AM
Presenter Marco Millones Mayer*, University of Mary Washington, Benoit Parmentier*, National Socio-Environmental Synthesis Center, University of Maryland, Daniel A Griffith, University of Texas at Dallas, Yongwan Chun, University of Texas at Dallas, Stuart E Hamilton, University of Salisbury , When Space Beats Time 20 8:20 AM
Presenter Victor Gutierrez-Velez*, Temple University, Daniel Wiese, Department of Geography and Urban Studies, Temple University, Suitable bias and accuracy assessment for spatial predictive forecast models 20 8:40 AM
Presenter Ron Eastman*, Clark Labs, Stefano C. Crema, Clark Labs, Hannah R. Rush, Clark Labs, Kaixi Zhang, Clark Labs, A Weighted Normalized Likelihood Procedure for Empirical Land Change Modeling 20 9:00 AM
Presenter Robert Gilmore Pontius*, Clark University, Jinliang Huang, Xiamen University, Wenle Jiang, Clark University, Sam Khallaghi, Clark University, Youtao Lin, Clark University, Jiyuan Liu, Chinese Academy of Sciences, Bin Quan, Hengyang Normal University, Su Ye, Clark University, Rules to write mathematics to clarify metrics such as the land use dynamic degrees 20 9:20 AM

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