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Methods to compare regions concerning a category’s changes during a time series
Topics: Geographic Information Science and Systems
, Land Use and Land Cover Change
, Spatial Analysis & Modeling
Keywords: Unified area; Land change; Forest; Spatial Extent; Time Series Session Type: Virtual Paper Abstract Day: Saturday Session Start / End Time: 2/26/2022 08:00 AM (Eastern Time (US & Canada)) - 2/26/2022 09:20 AM (Eastern Time (US & Canada)) Room: Virtual 30
Authors:
Thomas Mumuni Bilintoh, Clark University
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Abstract
This research presents novel methods to quantify changes a category’s changes during a time series, especially when comparing regions that vary in spatial extent, temporal extent, and temporal resolution. I have developed methods and computer programs to compare regions by specifying the unified area within a region, eight types of change trajectories, and losses & gains in terms of three components: Quantity, Allocation, and Alternation. The illustrative case study compares two regions, of Mato Grosso, Brazil. Region A has land cover maps at five time points at two-year intervals, and region B has land cover maps at 10 time points at one-year intervals. The methods focus on the dynamics of a single category, in this example, forest. Results show that both regions experience Loss Quantity, which is smaller in region A than in region B. The Allocation component in region A is smaller than in region B. Similarly, the Alternation component is smaller in region A than in B. Overall, change is slower in region A than in region B. I have written computer code in R to automate the analysis.
Methods to compare regions concerning a category’s changes during a time series