

The number of nearest observations that should be used for a kriging prediction or simulation, where nearest is defined in terms of the space of the spatial locations.
.jpg)
If the number of nearest observations within distance maxdist is less than nmin, a missing value will be generated see maxdist If loc.dist is specified, maxdist should be in same distance unit. Maxdist is in km when longlat is TRUE (non-projected crs), in meters otherwise. Maximum distance radius for neighbours search in the idw interpolation. Specify the inverse distance weighting power. Matrix of distances between data (rows) and locations (cols) Not necessary with loc.dist.Ĭoordinates of points where to provide predictions. Vector of values to be interpolated at data coordinatesĬoordinates of observation points. Idw.dist ( data, coords, locations, loc.dist, idp = 2, max.dist, nmin = 1, nmax, longlat = TRUE ) sph2car: Computes cartesian coordinates from long,lat geographical.Pt2Pts.wo.obstacle: Calculate distance from one point to a set of points using.Prep_loc_dist: Prepare loc.dist for idw special case.Modified from function nv in geoR library. : Special case idw for reduced time calculation.idw.dist: Inverse distance calculation using custom distances..obstacle: Find neighbours without obstacles in different directions.eyefit.large: Eyefit function of geoR with higher range for phi and sigma.distref.raster-class: Class for distref.raster.distref.raster: Transfrom reference raster as a network of paths for distance.distref.data-class: Class for distref.data.distref.data: Get characteristics of data regarding the reference raster.Features: Distance/Area/Volume Continuous measurement/minimum/maximum Addition/Subtraction Offset +/- & stakeout Colour display / rotatable Pointfinder camera with 4 x zoom 1/4. The 4x zoom captures accurate measurements from long distances up to 80 metres. dist.obstacle: Calculate 2D distances from points to points avoiding. The GeoDist 80 opens up even extensive outdoor areas easily with a homing camera.autofitVariogram.dist: Automatically fitting a variogram.
