spatstat is a package for the statistical software suite R to conduct spatial point pattern analysis and modeling

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R package spatstat: How to use point process model covariate as factor when pixel image values are numeric

I am trying to model a point process with an image covariate using the ppm() function in the spatstat package in R. I convert my raster to an im object for use with spatstat, and I run into a problem ...
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How to convert raster to im object for point process model covariate in R

I am trying to convert a raster object to an .im object for use with a point process model in the spatstat package in R. I begin by creating the raster from a tiff file using the raster() package. No ...
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How to find highest kernel density point

I've been using spatstat to analyse point patterns in R. Here's an example to put this in context: library(spatstat) library(maptools) # to convert sp class to ppp Some point data: set.seed(1985) ...
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Kernel Density Analysis using R and ArcGis [duplicate]

I am doing some Kernel Density Estimations, and like everyone elese I face difficulties with setting the bandwidth to create georeferenced rasters. ArcGis (10.1) does it just fine, but it has no ...
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How can I connect my point pattern shapefile with my polygon window in R?

I would like to do some spatial statistics in R. I have a point layer called '1983' that represents the distribution of one species, and a polygon layer called 'SA-R' that represents the study area. ...
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python equivalent of spatstat's spatial point process functions

Is there a free python package (i.e. PySAL?) that implements the standard summary statistics for spatial point processes, e.g. the F, G, J, and K functions? I'm happy to use R (i.e. spatstat) if ...
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R - Crop a pixel image produced by spatstat with a boundary shape

i am using the very good spatial statistic package spatstat to produce probability maps of spatial point patterns. Here is a simple working result from the examples to try out. require(spatstat) ...