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6h
comment Kernel Density (KDE) Issues and GME Errors: “Failed to create raster dataset” and “Arithmetic operation resulted in an overflow.”
Without stepping out to Python this is near impossible in ArcGIS. Take a look at this thread (gis.stackexchange.com/questions/189344/…) for guidance in doing this in R. The GME software is mostly calling R so, you should just implement your analysis in the adehabitatHR R library. You will have considerably more flexibility in the models implemented as well as the Hurlbert model for comparing niche volumes.
6h
comment Kernel Density (KDE) Issues and GME Errors: “Failed to create raster dataset” and “Arithmetic operation resulted in an overflow.”
Percentiles are not the same as percent volume so, the methodology you are describing in ArcGIS is incorrect.
7h
comment Identifying individual pine trees without using LiDAR data?
I would recommend looking g into image segmentation. For a commercial software approach, feature analyst would make quick work of this problem.
7h
comment TryCatch for if two extents?
Sorry, I meant nest "supressWarnings" in tryCatch. You always use an if statement to capture the error. Very useful in storing functions but also confusing in application.
7h
comment TryCatch for if two extents?
Try nesting "try" in tryCatch.
1d
comment Creating an ArcGIS toolbox with an R script
Is "in_params" a list object?
1d
comment Are my reflectance values of bands in range and what does DRA in GIS 10.1 do to bands?
This answer should not have been down-voted. It is fair to expect an op to make a minimum effort in researching their question, which certainly includes checking a software's help. This probably should have been a comment but that is subjective at best.
1d
answered How to extract single band from multi-band radiometry raster using R?
2d
comment writeOGR R and add an icon symbol
You need to clarify exactly what you mean by an "icon symbol". In R parlance, this make very little sense.
May
2
comment How to classify difference surfaces having almost similar Reflectance responses?
@Ben, Your assertion that: "Usually classification algorithm like Maximum Liklihood takes into account RGB values of the multispectral only" is incorrect. Just because your target is most prevalent in the visible spectral range does not mean that ML is only able to use the RGB bands. Please do not make steadfast assertions based on your assumptions. As pointed out, is is quite common place to include additional bands representing texture or transformations focusing on specific material signals (eg., geology, vegetation, water).
May
2
comment Maximum Liklihood Image Classification; Does this algorithm consider RGB Band values only?
@Ben, but the post you are pointing to has nothing to do with a ML algorithm using only the RGB bands but, rather about spectral separability. Again, I have no idea where you got the impression that ML, implemented in remote sensing software, only uses the RGB bands. I have been working with remote sensing data for 25+ years and this has never been the case with any software I have worked with, which have been numerous. Your assertion that only the RGB is considered is just incorrect, otherwise a massive history of remote sensing would have just not been possible.
May
2
revised Maximum Liklihood Image Classification; Does this algorithm consider RGB Band values only?
added 9 characters in body
May
2
comment Maximum Liklihood Image Classification; Does this algorithm consider RGB Band values only?
Not sure what the source of ambiguity is. If you are using ENVI there is absolutely no doubt that all of the bands passed to the maximum likelihood classifier will be used. I am really wondering where you got the impression that this was not the case.
Apr
30
answered Maximum Liklihood Image Classification; Does this algorithm consider RGB Band values only?
Apr
30
comment Why ArcGIS crashes when I load raster file created in R? (HFA format)
GDAL will recognize the file format based on the file extension. Leave out the format argument and try it.
Apr
29
comment R: creating an error matrix from two rasters
Because you are adding bias to the evaluation in that there will be inherent aggregation error introduced when you resample the data to a different resolution. This source of error will become a part of the assessment that is not accounted for. Anytime you are forced to compare different resolution data it is best to do it via an independent sample so additional error is not introduced and the data used is independent of the different sources of scale. If sample theory did not work we would not have statistics!
Apr
28
comment SRTM 30m hillshade output low resolution
This is happening because you use nearest as the resampling method when you reprojected the raster. Try again and select bilinear.
Apr
28
comment Problems to export raster files in R software
It sounds like your cell size is different in the x and y dimension. You can check this using res(). The two values should be the same, indicating that the cell size is of equal dimension. If the values are different then you probably need to resample the raster to fix the export to ASCII issue. Have you tried tif or img formats?
Apr
28
revised Creating SpatialPolygons in R
added 66 characters in body
Apr
28
comment Creating SpatialPolygons in R
I resolved the error you were receiving. For some reason the projection was not consistently assigning within the raster function. Assigning the projection so they will match, is a critical step. This is done using the proj4string as illustrated in the code example. The "meuse" SpatialPointsDataFrame object is acting in place of whatever data you are using.