2001
DOI: 10.1016/s0167-8809(01)00183-9
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Modeling the spatial pattern of land-use change with GEOMOD2: application and validation for Costa Rica

Abstract: The objective of this paper is to simulate the location of land-use change, specifically forest disturbance, in Costa Rica over several decades. This paper presents a GIS-based model, GEOMOD2, which quantifies factors associated with land-use, and simulates the spatial pattern of land-use forward and backward in time. GEOMOD2 reads rasterized maps of land-use and other biogeophysical attributes to determine empirically the attributes of land that humans tend to use. Then GEOMOD2 uses the patterns of those biog… Show more

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Cited by 265 publications
(128 citation statements)
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“…We use the uncertainty ranges in population and GDP projections to estimate the corresponding PDFs. In the second phase, we use the aggregate amounts and simulate their spatial distribution using a spatially explicit grid-based landchange model (44), which uses slope, distance to roads, population density, and land cover as the primary drivers of land change. Our analysis assumes no new road development.…”
Section: Methodsmentioning
confidence: 99%
“…We use the uncertainty ranges in population and GDP projections to estimate the corresponding PDFs. In the second phase, we use the aggregate amounts and simulate their spatial distribution using a spatially explicit grid-based landchange model (44), which uses slope, distance to roads, population density, and land cover as the primary drivers of land change. Our analysis assumes no new road development.…”
Section: Methodsmentioning
confidence: 99%
“…Providing simulations on the basis of the complexity of the SDGS can provide a significant guide for testing the effectiveness of policies, selecting the most reasonable policy decisions for Beijing, and thus achieving the SDGS of Beijing during "The 13th Five-year Plan". Currently, some studies have made considerable effort in this area of forecasting and simulating through modeling, including a land transformation model [10], cellular automata [11] and GEOMOD model [12]. However, these models are spatially complex systems for forecasting.…”
Section: Introductionmentioning
confidence: 99%
“…Geomod (Pontius et al, 2001) is a LUCC model implemented by several authors to simulate land-use changes and predict the expansion of urban areas (Pinto et al, 2009;Chen and Pontius, 2010). Geomod was the selected model to simulate urban growth between two categories (non-urban to urban) considering the MMP and SCMP regulations.…”
Section: Urban Modelling For Year 2016 With Geomodmentioning
confidence: 99%