Coordinates tolerance ERROR

Hello Gafarou,

(as I answered your question previously in maxent at googlegroups.com...) 
the error message means that the points stored in Locations.csv are not 
in a regular grid, i.e., the distances between them are not the same. 
Although you can increase the tolerance parameter to eliminate the error 
message, this error usually indicates a deeper problem with the data 
that can not be solved (just hidden) by the increased tolerance. Maybe 
the points form a regular grid in another projection, so before trying 
to cast your SpatialPointsDataFrame to SpatialGridDataFrame with 
gridded<-(), you should spTransform() it to the adequate CRS. Also you 
should check whether the data.frame 'ForMapping' contains all the needed 
X-Y pairs. If the following gives you FALSE, it may indicate the problem:
nrow(ForMapping) == length(unique(ForMapping$X)) * 
length(unique(ForMapping$X))
I would also give a chance to raster::rasterFromXYZ().
Please send us a reproducible example (e.g. the original Locations.csv) 
to let us reproduce the error and understand its reason.

HTH,
?kos Bede-Fazekas

2021.02.10. 14:38 keltez?ssel, Gafarou AGOUNDE ?rta:

Hi,
I am facing this error when running this code bellow;

suggested tolerance minimum: 0.662921
Error in points2grid(points, tolerance, round) :
   dimension 1: coordinate intervals are not constant

What does this error mean and how to fix it?
In fact, the Locations.csv file contains just two columns respectively X and Y in decimal degrees (e.g. X=2.07656	Y=7.08511).
The error occurs when executing the last row.

Here is the code:
ForMapping <- read.csv("Locations.csv")
str(ForMapping)
length(PredictedAbundance) == length(ForMapping$X)
ForMapping$PredictedAbundance <- PredictedAbundance
coordinates(ForMapping) <- ~ X + Y
gridded(ForMapping) <- TRUE

Your help will be very appreciated..........!

Sent from Mail for Windows 10


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