NAMEv.distance - Finds the nearest element in vector map 'to' for elements in vector map 'from'.
KEYWORDSvector, database, attribute table
SYNOPSISv.distance v.distance help v.distance [-pa] from=name to=name [from_type=string[,string,...]] [to_type=string[,string,...]] [from_layer=integer] [to_layer=integer] [output=name] [dmax=float] [dmin=float] upload=string[,string,...] column=name[,name,...] [to_column=name] [table=name] [--overwrite] [--verbose] [--quiet] Flags: -p Print output to stdout, don't update attribute table First column is always category of 'from' feature called from_cat -a Calculate distances to all features within the threshold The output is written to stdout but may be uploaded to a new table created by this module. From categories are may be multiple. --overwrite Allow output files to overwrite existing files --verbose Verbose module output --quiet Quiet module output Parameters: from=name Name of existing vector map (from) to=name Name of existing vector map (to) from_type=string[,string,...] Feature type (from) Feature type Options: point,centroid Default: point to_type=string[,string,...] Feature type (to) Feature type Options: point,line,boundary,centroid,area Default: point,line,area from_layer=integer Layer number (from) A single vector map can be connected to multiple database tables. This number determines which table to use. Default: 1 to_layer=integer Layer number (to) A single vector map can be connected to multiple database tables. This number determines which table to use. Default: 1 output=name Name for output vector map containing lines connecting nearest elements dmax=float Maximum distance or -1 for no limit Default: -1 dmin=float Minimum distance or -1 for no limit Default: -1 upload=string[,string,...] Values describing the relation between two nearest features Options: cat,dist,to_x,to_y,to_along,to_angle,to_attr cat: category of the nearest feature dist: minimum distance to nearest feature to_x: x coordinate of the nearest point on 'to' feature to_y: y coordinate of the nearest point on 'to' feature to_along: distance between points/centroids in 'from' map and the linear feature's start point in 'to' map, along this linear feature to_angle: angle between the linear feature in 'to' map and the positive x axis, at the location of point/centroid in 'from' map, counterclockwise, in radians, which is between -PI and PI inclusive to_attr: attribute of nearest feature given by to_column option column=name[,name,...] Column name(s) where values specified by 'upload' option will be uploaded to_column=name Column name of nearest feature (used with upload=to_attr) table=name Name of table created for output when the distance to all flag is used
DESCRIPTIONv.distance finds the nearest element in vector map (to) for elements in vector map (from). Various information about the vectors' relationships (distance, category, etc.) may be uploaded to the attribute table attached to the first vector map, or printed to 'stdout'. A new vector map may be created where lines connecting nearest points on features are written. dmin and/or dmax can be used to limit the search radius.
NOTESIf a nearest feature does not have a category, the attribute column is updated to null. This is true also for areas, which means for example, that if a point is in an island (area WITHOUT category), v.distance does not search for the nearest area WITH category; the island is identified as the nearest and category updated to null. The upload column(s) must already exist. Create one with v.db.addcol. In lat-long locations v.distance gives distances (dist and to_along) in meters not in degrees calculated as geodesic distances on a sphere.
EXAMPLESFind nearest lines Find nearest lines in vector map ln for points from vector map pnt within the given threshold and write related line categories to column linecat in an attribute table attached to vector map pnt: v.distance from=pnt to=ln upload=cat column=linecat Find nearest area For each point from vector map pnt, find the nearest area from map ar within the given threshold and write the related area categories to column areacat in an attribute table attached to vector map pnt (in the case that a point falls into a polygon area, the distance is zero): v.distance from=pnt to=ar upload=cat column=areacat Create a new vector map Create a new vector map which contains lines connecting nearest features of maps pnt and map ln. The resulting vector map can be used for example to connect points to a network as needed for network analysis: v.distance -p from=pnt to=ln out=connections upload=dist column=dist Query information Query information from selected point(s). v.distance takes points from a vector map as input instead of stdin. A new vector map with query points has to be created before the map can be analysed. Create query map (if not present): echo "123456|654321|1" | v.in.ascii output=pnt Find nearest features: v.distance from=pnt to=map_to_query upload=cat col=somecol -p Point-in-polygon The option dmax=0 is here important because otherwise for points not falling into any area, the category of the nearest area is recorded. For each point from vector map pnt, find the area from vector map ar in which the individual point falls, and write the related area categories to column areacat into the attribute table attached to vector map pnt: v.distance from=pnt to=ar dmax=0 upload=cat column=areacat Univariate statistics on results Create a vector map containing connecting lines and investigate mean distance to targets. An alternative solution is to use the v.distance upload=dist option to upload distances into the bugs vector directly, then run v.univar on that. Also note you can upload two columns at a time, e.g. v.distance upload=cat,dist column=nearest_id,dist_to_nr. # create working copy g.copy vect=bugsites,bugs # add new attribute column to hold nearest archsite category number v.db.addcol map=bugs column="nrst_arch INTEGER" v.distance from=bugs to=archsites to_type=point upload=to_attr \ to_column=cat column=nrst_arch out=vdistance_vectors_raw # we need to give the lines category numbers, create a table, and create # a column in that table to hold the distance data. v.category vdistance_vectors_raw out=vdistance_vectors type=line op=add g.remove v=vdistance_vectors_raw v.db.addtable map=vdistance_vectors column="length DOUBLE" v.to.db map=vdistance_vectors option=length column=length # calculcate statistics. Use v.univar.sh for extended statistics. v.univar vdistance_vectors column=length Print distance matrix v.distance -pa from=archsites to=archsites upload=dist col=dist Note: Matrix-like output is enabled only for flag -a and one given upload option.
SEE ALSOr.distance, v.db.addcol, v.what.vect
AUTHORJanne Soimasuo 1994, University of Joensuu, Faculty of Forestry, Finland Cmd line coordinates support: Markus Neteler, ITC-irst, Trento, Italy Updated for 5.1: Radim Blazek, ITC-irst, Trento, Italy Martix-like output by Martin Landa, FBK-irst, Trento, Italy Last changed: $Date: 2010-09-22 15:58:23 +0200 (Wed, 22 Sep 2010) $ Full index (C) 2003-2010 GRASS Development Team V.DISTANCE(1)