Hi Thanks. I have species richness projections (made using Maxent projections of species distribution of 171 species, reclassified to give binary estimates of species distributions {10 percentile training threshold) before combining all 171 projections). So I have a raster of species richness in addition to all the possible correlates I am examining (npp, intra-annual variability of npp, inter-annual variability of npp, distance from coast, distance from karsts, latitude, lgm minimum temperature, lgm mean temperature, temperature change in minimum temperature since lgm, t change in mean temp since lgm, actual evapotranspiration) None of the correlates were used in species distribution projections and I have a gis raster of each variable, in addition to a database denoting the value of each for every km2 throughout Southeast Asia.
Now I want to determine how much variability in species richness can be explained by variation in each of the other variables, in addition to the relationships. But I don't know which test would be best to do this, or software (GIS or database) which could best analyse this-especially given that the database is over 4520000 rows, and a large number of columns..... Advice would be greatly appreciated -- View this message in context: http://r-sig-geo.2731867.n2.nabble.com/Assessing-and-ranking-the-relationships-and-contribution-of-environmental-correlates-to-species-richs-tp6543945p6545267.html Sent from the R-sig-geo mailing list archive at Nabble.com. _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo