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GetData('CMIP5', var='tmin', res=10, rcp=85, model='AC', year=70)įunction (var, model, rcp, year, res, lon, lat, path, download = TRUE) In addition, you need to provide model, rcp and year. Only resolutions 2.5, 5, and 10 are currently available. To get (projected) future climate data (CMIP5), you must provide arguments var and res as above. GetData('worldclim_past', var='bio', res=10, past="lgm") In all cases there are 12 (monthly) files for each variable except for 'bio' which contains 19 files. In the case of res=0.5, you must also provide a lon and lat argument for a tile for the lower resolutions global data will be downloaded. Valid resolutions are 0.5 (not for past climates), 2.5, 5, and 10 (minutes of a degree). For 'worldclim_past' you also need to specify the past time, 'lgm' or 'mid', as past="lgm". Valid variables names are 'tmin', 'tmax', 'prec' and 'bio'. If name='worldclim' or name='worldclim_past' you must also provide arguments var, and a resolution res. Remember that in the first lesson in this module, you learned about RESTful APIs.You explored the concept of a request and then a subsequent response.The request to an RESTful API is composed of a URL and the associated parameters required to access a particular subset of the data that you wish to access. These should be single numbers somewhere within the SRTM tile that you want. If name is 'SRTM' you must provide 'lon' and 'lat' arguments (longitude and latitude). If it is TRUE values for neighbouring countries are set to NA. In the case of alt you can set 'mask' to FALSE. In the case of GADM you must also provide the level of administrative subdivision (0=country, 1=first level subdivision).
#Getdata r iso
Countries are specified by their 3 letter ISO codes. If name is 'alt' or 'GADM' you must provide a 'country=' argument. 'countries' has polygons for all countries at a higher resolution than the 'wrld_simpl' data in the maptools pacakge. 'SRTM' refers to the hole-filled CGIAR-SRTM (90 m resolution).
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'worldclim' is a database of global interpolated climate data from 1960-1990 averages, and 'worldclim_past' contains inferred and interpolated climate data from mid-holocene (6,000 years ago) and last glacial maximum (22,000 years ago). 'GADM' is a database of global administrative boundaries. 'alt' stands for altitude (elevation) the data were aggregated from SRTM 90 m resolution data between -60 and 60 latitude.
![getdata r getdata r](http://urbaninstitute.github.io/R-Trainings/accesing-census-apis/presentation/img/availableapis.png)
Default is the current working directoryĪdditional required (!) parameters. Path name indicating where to store the data. If TRUE data will be downloaded if not locally availableĬharacter. ) ccodes ()ĭata set name, currently supported are 'GADM', 'countries', 'SRTM', 'alt', 'worldclim', and 'worldclim_past'. Public void setData( ( name, download = TRUE, path = ''. Is returned, there are no more items in the chain. Public ListNode getNext() Returns the next ListNode in the chain. Public getData() Returns this ListNode's data Note that if there is no next reference, null should be passed Parameters: data - the data item this node is keeping track of next - the next ListNode in the chain. ListNode next) Creates a new ListNode object containing specified data and next This ListNode's next reference is set to null Heres a simple example: Create some fake data (a raster stack with 10 rows, 10 columns and 2 layers) s <- stack (replicate (2, raster (matrix (sample (3000, 100, replaceT), nc10)))) return, for each layer, the values of cells in the specified row for which layer 1 is less than 1000. Public ListNode( data) Creates a new ListNode containing the specified data type. Public ListNode() Creates a completely blank ListNode Sets this ListNode's next reference to be the specified ListNode Sets this ListNode's data to be the specified object
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