[GIS] Kernel density and polygons

arcgis-10.1arcgis-desktopextractkernel densitymulti-values

need a work around to produce a kernel density map of polygons (national parks system) layer at 30m grid cell and 500m bandwidth. the kernel density tool in ArcGIS 10 does not work with polygons.

at this point i am thinking convert polygons to raster and use point estimate or focal statistics tool perhaps to extract the raster values (1 = park, 0 = no park).

Best Answer

If I'm understanding your question correctly you would like to create a raster using the Kernel Density tool based on locations of National Parks?

If that is the question and you want a smaller scale map, I would just convert each polygon to a point using the Feature to Point Tool and then run your Kernel Density with that file.

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[GIS] Making 95% Volume Contour on ArcMap without Hawth’s Tools or GME

Although this answer is probably a bit late, there is a very simple way to overcome this problem using R which doesn't require proficiency and may be helpful to anyone with a similar problem . The code below will calculate the required contours and then write to a shapefile which can be projected in ArcGIS.

library(sp)
library(adehabitatHR)

# read in a .csv which contains lat and long for your data points

mydata<-read.csv("mydata.csv")

# create spatial points object

datapoints<-SpatialPoints(cbind(mydata$lon,mydata$lat))

kud <- kernelUD(datapoints, h=0.2) #kernel density utilization distribution (h=smoothing factor)

homerange75 <- getverticeshr(kud, percent=75) #convert into vector object, use 75,50,25 for quartic kernel

# set coordinates and write to shapfile which can be projected in ArcGIS

WGScoor<-  homerange75
proj4string(WGScoor)<- CRS("+proj=longlat +datum=WGS84")
raster::shapefile(WGScoor, "homerange75_new.shp")

Best Answer

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[GIS] Making 95% Volume Contour on ArcMap without Hawth’s Tools or GME

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