Abstract: A locally adaptive spatial system renders spatially explicit population projections. The system identifies selected land areas that are excluded from future development. It identifies potential growth areas that identify land areas that are projected to gain populations by modeling land variables. The system classifies the population projections as infill or sprawl based on the current local urbanization index and identifies potential loss surfaces that identify land areas that are projected to lose populations. The system spatially allocates population changes at a county level based on the infill, sprawl, and population loss designations.

Abstract: A system detects settlements from images. A processor reads image data. The processor is programmed by processing only a portion of the image data designated a settlement by a user. The processor transforms the image data into a settlement classification or a non-settlement classification by discriminating pixels within the images based on the user's prior designation. The system alters the appearance of the images rendered by processor to differentiate settlements from non-settlements.