I need to join the data in two attribute tables. The tables contain data on 500 random points (1,000 total) in "habitat" and "habitat" (one table for habitat, one table for nonhabitat) and corresponding fields that include lat long coordinates and elevation data. I need to end up with a joint dbf file that I can covert to a csv file and analyze in R software for logistic regression.
I'm not sure what Field to join the tables with. Since they are two different geographic areas they have no Field in common and the Rowid columns are the same (each table has 1 to 500 records). In other worlds, I need a table that has 1,000 rows--there will be no matching records in the join. I tried joining on the habitat/nonhabitat designation field and got null values.
So I really need to add the tables together into one file. Can I do this with the Join function, another function, or should I combine the tables in the csv format? Or perhaps I need to create the random points somehow in one file with two constraining features: The polygon masks of habitat and nonhabitat.