This repository includes the code for the
example.m Matlab function, along with all dependent functions required to run it.
Paragraph description for this function or suite of functions.
- Getting started
This function requires Matlab R14 or later.
Downloading and installation
Matlab Search Path
The following folders need to be added to your Matlab Search path (via
value = interpshapefile(S, lat, lon, attribute)
value = interpshapefile(S, lat, lon, attribute) determines the
value corresponding to location(s) with latitude
lat and longitude
lon based on the
attribute field associated with polygons in the geographic data structure
S (as returned by a call to
shaperead). At minimum,
S must include fields of 'Lat', 'Lon', and the specified attribute, and contain one or more elements with 'Polygon' Geometry. The returned
value will either be a numeric or cell array, depending on the class of the attribute field; points outside of the polygons will receive a NaN or empty array as applicable.
We'll use the usastatlo.shp shapefile for our example; this file is included with the Mapping Toolbox:
States = shaperead('usastatelo', 'UseGeoCoords', true); usamap('conus'); geoshow('usastatelo.shp', 'facecolor', ones(1,3)*0.8, ... 'edgecolor', ones(1,3)*0.7);
Scatter some random points.
latlim = getm(gca, 'maplatlimit'); lonlim = getm(gca, 'maplonlimit'); rng(1); % for reproducability only lon = rand(40,1) * diff(lonlim) + lonlim(1); lat = rand(40,1) * diff(latlim) + latlim(1); plotm(lat, lon, 'b.');
Determine which state each point is in.
sname = interpshapefile(States, lat, lon, 'Name'); textm(lat, lon, sname, 'fontsize', 8);
Community contributions to this package are welcome!
To report bugs, please submit an issue on GitHub and include:
- your operating system
- your version of Matlab and all relevant toolboxes (type
verat the Matlab command line to get this info)
- code/data to reproduce the error or buggy behavior, and the full text of any error messages received
Please also feel free to submit enhancement requests, or to send pull requests (via GitHub) for bug fixes or new features.
I do monitor the MatlabCentral FileExchange entry for any issues raised in the comments, but would prefer to track issues on GitHub.
Published with MATLAB R2019a
Kelly Kearney (2023). interpshapefile (https://github.com/kakearney/interpshapefile-pkg), GitHub. 검색됨 .
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