Habitat modeling techniques, such as conditional logistic
regression, require a random sample of background points used to quantify available habitat. One common assumption
of resource selection functions is that animals have an equal probability of
using background points as they do occurrence points. For animals that move
across the landscape this assumption is often violated if the entire movement
corridor is considered as background. This tool alleviates this concern by
creating a local sample of background points around known occurrence points.
There are two versions of this tool. The large version is recommended for most
applications as it tiles the data resulting in faster processing times. It does this by using a parameter specifying the number of features per tile and then tiling (splitting) the dataset. The smaller datasets result in much faster run times and the results are appended to an empty output shapefile continuously. If there is a power outage or some other interruption it should be possible to go back and determine how much of the dataset got processed and which points got processed.
With this blog I intend to share GIS, remote sensing, and spatial analysis tips, experiences, and techniques with others. Most of my work is in the field of Landscape Ecology, so there is a focus on ecological applications. Postings include tips and suggestions for data processing and day-to-day GIS tasks, links to my GIS tools and approaches, and links to scientific papers that I've been involved in.
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