compute.frag: Create fragmentation data set for use
In akeyel/behlpr: Functions to run my biodiversity analysis
Description
Right now, using CORINE, because it is easy and available, and I'm running out of time
Alternatives will be to follow up with Thomas Nauss about options or to contact Catrin Westfall
Catrin has digitized about a 2km buffer around each plot and classified the land use, so would
have much more precise fragmentation statistics.
(if that is really the case, why am I re-creating the wheel?
Because rumor has it she's not particularly interested in sharing the data.
NOTE: anything you set up for CORINE will also work with her data set, so set it up for CORINE
And then follow up with her - the comparison could make an interesting note.
I wonder if there is already an R tool for this?
NOTE: Fragmentation and heterogeneity are two words for effectively the same thing.
Or you could just try FRAGSTATS - that might be faster and easier.
Quick look doesn't look like there is an easy way to do what I want - just do what you know (even if you haven't done it in R.)
Usage
1
compute.frag(points, dataset, buffer.vec)
Arguments
points
an input of points (even though the exporatories are plots, I'm using the center point)
dataset
A data set to calculate fragmentation for
buffer.vec
a vector of spatial scales at which to calculate fragmentation
akeyel/behlpr documentation built on May 12, 2019, 4:41 a.m.
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Description
Right now, using CORINE, because it is easy and available, and I'm running out of time Alternatives will be to follow up with Thomas Nauss about options or to contact Catrin Westfall Catrin has digitized about a 2km buffer around each plot and classified the land use, so would have much more precise fragmentation statistics. (if that is really the case, why am I re-creating the wheel? Because rumor has it she's not particularly interested in sharing the data. NOTE: anything you set up for CORINE will also work with her data set, so set it up for CORINE And then follow up with her - the comparison could make an interesting note. I wonder if there is already an R tool for this? NOTE: Fragmentation and heterogeneity are two words for effectively the same thing. Or you could just try FRAGSTATS - that might be faster and easier. Quick look doesn't look like there is an easy way to do what I want - just do what you know (even if you haven't done it in R.)
Usage
1 | compute.frag(points, dataset, buffer.vec)
|
Arguments
points |
an input of points (even though the exporatories are plots, I'm using the center point) |
dataset |
A data set to calculate fragmentation for |
buffer.vec |
a vector of spatial scales at which to calculate fragmentation |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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