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# read a grid (the format is automatically detected)
grd <- readGDAL("/path/to/the/file")
# write a grid, the standard format is GeoTIFF
writeGDAL(sp_grid_object, fname = "/path/to/the/file.tif", 
drivername = "GTiff", type = "Float32")
# read a vector file
vec <- readOGR("/path/to/the/file", layer = "layer_name")
# write a vector object
writeOGR(sp_poly_object, dsn = "/path/to/file", driver = "ESRI 
Shapefile")
Import and export spatial data into and from sp classes
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Reading vector files: rgdal
Reading an ERSI shapefile from the case 
study dataset:
weather_station_BIOSIM.shp
ogrDrivers()#list drivers
que_biosim <- readOGR(dsn=".", 
layer= "weather_station_BIOSIM")
OGR data source with driver: ESRI 
Shapefile Source: ".", layer: 
"weather_station_BIOSIM"
with 13 features and 6 fields
Feature type: wkbPoint with 2 
dimensions
cat(strwrap(proj4string(que_biosim)
), sep = "/n")
+proj=aea +lat_1=42.122774 
+lat_2=49.01518 
+lat_0=45.568977/n+lon_0=-83.248627 
+x_0=1000000 +y_0=1000000 +datum=NAD83 
+units=m +no_defs/n+ellps=GRS80 
+towgs84=0,0,0 
Using the vector component of 
OGR-Geospatial Data 
Abstraction Library lets us read 
shapefiles and other formats for 
which drivers are available. It 
also supports handling of CRS 
directly so if the imported data 
has CRS specification it will be 
read. But beware formats change 
from platform to platform!
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Reading raster: rgdal
Presently there ~97 different drivers in rgdal for reading raster format 
data:
getGDALDriverNames()$name
list.files()
“srtm_100m_filtered_elev_3175.tiff”
This file is from the GEOSTAT13 case study:
que_elev <- readGDAL("srtm_100m_filtered_elev_3175.tiff")
srtm_100m_filtered_elev_3175.tiff has GDAL driver GTiff 
and has 1377 rows and 1409 columns
image(que_elev, col= grey(1:99/100),  axes=TRUE)
points(que_biosim, col="red",lwd=2)#from the previous shape file
summary(que_elev)
Reading raster: Raster
que_elevr <- 
raster("srtm_100m_filtered_ele
v_3175.tiff")
plot(que_elevr,col= 
grey(1:99/100),main="geostat13
-DEM")
points(que_biosim,col="red",lw
d=2)
Reading raster:Raster
> que_elevr
class       : RasterLayer 
dimensions  : 1377, 1409, 1940193  (nrow, ncol, ncell)
resolution  : 100.4076, 100.4725  (x, y)
extent      : 1572347, 1713822, 1137942, 1276293  
(xmin, xmax, ymin, ymax)
coord. ref. : +proj=aea +lat_1=42.122774 
+lat_2=49.01518 +lat_0=45.568977 +lon_0=-83.248627 
+x_0=1000000 +y_0=1000000 +ellps=GRS80 
+towgs84=0,0,0,0,0,0,0 +units=m +no_defs 
data source : 
C:\geostat_quebec\raster_GIS\lectureRasGIS_ASDA\srtm_1
00m_filtered_elev_3175.tiff 
names       : srtm_100m_filtered_elev_3175 
rgdal
raster
maptools
sp
shapefiles
also see Geomap, maps, mapdata & 
mapproj
Interface with other spatial analysis
Most spatial data originate outside of R and many times R 
analysis is presented outside of R. How do we exchange 
data?  
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