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There are a couple options, actually. Use Clip to trim the raster of interest (e.g. DEM) to only the area that you want to analyze. Advantage: you have a permanent feature that you can always use -- good for repeated analyses over the same area. Disadvantage: duplicate rasters consume file space and/or can get confusing. Set the appropriate ...


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The ArcGIS 10.2 and 10.2.1 Online Help on Service Area Analysis does not seem to provide any information on how Aervice Areas are calculated. It is possible/likely that proprietary algorithms, which may be of commercial value to Esri, are involved. Consequently, I think your best chance to find out will be to submit a question to your local Esri Support to ...


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In ArcGIS you have one tool that can solve your problem: Eliminate (Data Management Tools)


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a possible workaround is to select the polygons in the original data that do not overlap with the cleaned data (with v.soverlay operator=not ), then merge the two data together (using v.overlay operator=or ) EDIT : the algorithm for a proper eliminate consists in : 1) selecting "small" polygons 2) converting original polygons in lines 3) converting ...


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You can use functions from the rgeos package to extract such regions (e.g. gIntersection, gDifference). I use gDifference in this example, because gIntersection returns a SpatialCollections object here: # define rectangular region y_lim <- c(-1, 1)*23.5 rect_lim <- cbind(c(rep(bbox(ao)["x", ], each=2), bbox(ao)["x", 1]), c(y_lim, ...



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