maxent原版英文說明(已修改)
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【正文】 RESM 575 Spatial AnalysisSpring 2010Lab 6 Maximum EntropyAssigned: Monday March 1Due: Monday March 820 pointsThis lab exercise was primarily written by Steven Phillips, Miro Dudik and Rob Schapire, with support from ATamp。T LabsResearch, Princeton University, and the Center for Biodiversity and Conservation, American Museum of Natural History. This lab exercise is based on their paper and data: Steven J. Phillips, Robert P. Anderson, Robert E. Schapire. Maximum entropy modeling of species geographic distributions. Ecological Modelling, Vol 190/34 pp 231259, 2006.My goal is to give you a basic introduction to use of the MaxEnt program for maximum entropy modeling of species’ geographic distributions. The environmental data consist of climatic and elevational data for South America, together with a potential vegetation layer. The sample species the authors used will be Bradypus variegatus, the brownthroated threetoed sloth. NOTE on the Maxent softwareThe software consists of a jar file, , which can be used on any puter running Java version or later. It can be downloaded, along with associated literature, from ~schapire/maxent. If you are using Microsoft Windows (as we assume here), you should also download the file , and save it in the same directory as . The website has a file called “”, which contains instructions for installing the program on your puter.The software has already been downloaded and installed on the machines in 317 Percival.240。 First go to the class website and download the file. Extract it to the c:/temp folder which will create a c:/temp/tutorialdata directory.240。 Find the maxent directory on the c:/ drive of your puter and simply click on the file . The following screen will appear:To perform a run, you need to supply a file containing presence localities (“samples”), a directory containing environmental variables, and an output directory. In our case, the presence localities are in the file “c:\temp\tutorialdata\samples\”, the environmental layers are in the directory “l(fā)ayers”, and the outputs are going to go in the directory “outputs”. You can enter these locations by hand, or browse for them. While browsing for the environmental variables, remember that you are looking for the directory that contains them – you don’t need to browse down to the files in the directory. After entering or browsing for the files for Bradypus, the program looks like this:The file “samples\” contains the presence localities in .csv format. The first few lines are as follows:species,longitude,latitudebradypus_variegatus,bradypus_variegatus,bradypus_variegatus,bradypus_variegatus,bradypus_variegatus,There can be multiple species in the same samples file, in which case more species would appear in the panel, along with Bradypus. Other coordinate systems can be used, other than latitude and longitude, as long as the samples file and environmental layers use the same coordinate system. The “x” coordinate should e before the “y” coordinate in the samples file.The directory “l(fā)ayers”
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