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shpproj
using the projection tools proj and invproj
we have implemented a shapefile projection utility
shpproj shp_file new_shp ( -i=in_proj_file | -i="in_params" | -i=geographic ) ( -o=out_info_file | -o="out_params" | -o=geographic )
INPUT
Input can come from one of three sources. A projection parameter file,
directly through parameters or geographic. If the shapefile has an associated
prj file, name the same as the shapefile but ending in ".prj" it will be used
by default ignoring all other parameters. If input is omitted it defaults to
geographic, unless the default prj file exists..
OUTPUT
Output can come from one of three sources. A projection parameter file,
directly through parameters or geographic. If output is omitted it defaults
to geographic.
PROJECTION PARAMETER FILE
This file MUST end with the extension ".prj". It has the form of one
projection parameter per line. Parameters can be in any order.
PROJECTION PARAMETERS
Are the same as used by proj and invproj.
use proj -lP to see available projections
proj -lu to see available units
proj -le to see available ellipsoid
USAGE
the following example projects file rowtest to row3, moving data from Stateplane NAD83 zone 1002 to utm zone 16 in meters
shpproj rowtest row -i="init=nad83:1002 units=us-ft" -o="proj=utm zone=16 units=m"
shpproj rowtest row3 -o="proj=utm zone=18 units=m" -i="zone=16 proj=utm units=us-ft"
shpproj rowtest row3 -o="proj=utm zone=18 units=m"
shpproj rowtest row3 -i=myfile.prj -o=geographic
shpproj rowtest row3 -is=myfile.prj
Datums
Stateplane data can be accessed by the init function
init=nad83:1003
which is of the form
datum:FIPSzone
To move from NAD27 to NAD83 or otherwise the shpproj utility moves to
geographic coordinates and the back to the desired datum. proj can handle
direct datum to datum conversions but it is umimplemented here.
for a complete listing of FIPSZones by datum read nad/nad.lst in the PROJ4
library
CAUTION
It is possible to get very poor results for projection values when using
coordinates VERY far away from the intended scope of the projection.
An example of a poor projection choice would be to move from nad83:1002
(Georgia West) for data in California into utm. The resulting data will be
much less accurate than if it had started as geographic.