Difference between revisions of "OpasnetUtils/GIS"
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library(OpasnetUtils) | library(OpasnetUtils) | ||
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concentration <- GIS.Concentration.matrix(Emission = emissions, LA = LA, LO = LO) | concentration <- GIS.Concentration.matrix(Emission = emissions, LA = LA, LO = LO) | ||
| − | + | oprint(head(concentration@output)) | |
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exposure <- GIS.Exposure(concentration, LA = LA, LO = LO) | exposure <- GIS.Exposure(concentration, LA = LA, LO = LO) | ||
| − | + | oprint(head(exposure@output)) | |
</rcode> | </rcode> | ||
Revision as of 08:42, 13 March 2013
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Description
This section contains a couple of general GIS related functions
Code
https://www.opasnet.org/svn/opasnet_utils/trunk/R/GIS%20methods.r
Functions
GIS.Exposure
Exposure computes exposure using a given concentration matrix and protected population data from Heande.
Inputs:
- Concentration.matrix - A matrix containing spatially dependent concentratio data;
- LO & LA - coordinates of the center of the concentration matrix;
- distx & disty - maximum displacement from center of concentration matrix, assumed symmetrical, defaults to 10.5 km (PLTTI matrix);
- resolution - resolution of concentration matrix, length of side of grid element which are assumed squares, defaults to 1 km (PILTTI matrix)
Output:
- An ovariable containing result of Population * Concentration. Output and marginal slots are defined. Spatial information lost in summation (though there is an easy way around it).
GIS.Concentration.matrix
Computes a concentration matrix from given emission and coordinates, based on random sampling PILTTI source-receptor-matrices.
Inputs:
- Emission - emission of substance in Mga^-1;
- LO & LA - coordinates where emission occurs;
- distx & disty - maximum displacement in kilometers from center of desired matrix, assumed symmetrical, defaults to 10.5 km (PLTTI matrix);
- resolution - resolution of desired matrix (length in kilometers of side of grid element which are assumed squares), defaults to 1 km (PILTTI matrix);
- N - number of iterations to be run
Output:
- An ovariable containing spatially dependent concentration data. Output and marginal slots are defined.
