Using Neural Nets to Model the Spatial Distribution of Seasonal Homes

An urban growth boundary model using neural networks, GIS and radial parameterization: An application to Tehran, Iran

“…The SLEUTH, CLUE and LTM has, to our knowledge, not been configured for urban growth boundary and used to predict the size and shape of a large urban area. This reconfiguration of Pijanowski's LTM represents one of several (Yin and Xu, 1991;Li and Yeh, 2002;Shellito and Pijanowski, 2003;Müller and Mburu., 2009;Pijanowski et al, 2007;Ray and Pijanowski, 2010) configurations for modeling land use patterns using ANNs. Our UGBM reconfiguration has also produced new ways to measure model goodness of fit.…”

Protecting the idyll but not the environment: Second homes, amenity migration and rural exclusion in Washington State

“…To select independent variables we generated a preliminary list of geographical features using existing amenity indices (Deller, Lledo, & Marcouiller, 2008;Kwang-Koo, Marcouiller, & Deller, 2005;McGranahan, 1999;Shellito & Pijanowski, 2003), our knowledge of the state, and information collected from interviews (Table 1). Independent variables included attributes such as slope, adjacency to developed parcels, and the parcels' distance to a variety of physical, environmental, and social features.…”

Assessing risk of large-scale habitat conversion in lightly settled landscapes

“…First, the amenity ecosystems themselves (e.g., lakes) face structural, compositional, and chemical changes; second, landscapes are eventually fragmented by human infrastructure; and third, new growth nodes in unsettled or lightly settled areas introduce potential for more change (Hansen et al, 2002;Shellito and Pijanowski, 2003;Gobster and Rickenbach, 2004;Theobald, 2004). Current demographic trends suggest that as spatial barriers to movement and communication decrease, more people will be spending time working and recreating in remote locations (Williams and McIntyre, 2001) and as our results show, could produce large-scale habitat fragmentation.…”

“…In the upper Great Lakes region of the U.S. and Canada, the presence and availability of land near natural amenities were the primary driving factors in spatial distribution of new second homes (Shellito and Pijanowski, 2003), and urban populations are most likely to be the source of rural vacation homes (Halseth and Rosenberg, 1995). In another forested landscape in Sweden, second homes were most likely to be built where there was (1) forest cover, (2) lakes, (3) "lonely" location (i.e., lightly settled), (4) opportunity for outdoor activities, and (5) service facilities (Muller, 2002).…”