Hello,<br><br>Please forgive me for being slow at this and for having so many questions. I sampled my climate data in arcgis and then imported the .dbf file into R/Biomod to run. Shown below are the commands I used to retrieve this data. Then I did a level.plot to see my data in R. Attached are the images of what I got from R and what I see in arcgis. From what I can tell everything is the same (the number of coulmns and rows in my dbf are the same when viewed in R and in arcgis). I guess I don't understand why they look so different. Again, sorry for all the questions, but any help or advice or ideas would be most appreciated!<br>
<br>Thank you so much,<br>Ashley<br><br><br> My.Data <- read.dbf("C:/Documents and Settings/New User/My Documents/curoccdata.dbf")<br>> Coors <- read.dbf("C:/Documents and Settings/New User/My Documents/Coors.dbf")<br>
> head(My.Data)<br> X Y curbio1cli curbio2cli curbio7cli curbio12cl curbio15cl<br>1 -95.14583 49.35417 22 112 491 568 54<br>2 -95.10416 49.35417 22 112 491 570 54<br>
3 -95.06250 49.35417 22 112 490 572 54<br>4 -95.02083 49.35417 22 111 491 573 54<br>5 -95.14583 49.31251 21 113 492 567 55<br>
6 -95.10416 49.31251 22 113 492 567 55<br> curbio17cl Occurance<br>1 60 0<br>2 60 0<br>3 60 0<br>4 60 0<br>5 57 0<br>
6 57 0<br>> head(Coors)<br> X Y<br>1 -95.14583 49.35417<br>2 -95.10416 49.35417<br>3 -95.06250 49.35417<br>4 -95.02083 49.35417<br>5 -95.14583 49.31251<br>6 -95.10416 49.31251<br>> level.plot(My.Data[,5], Coors, title='var 3')<br>