svrooij

<p>The mobile editor app for WordPress has an option to automatically geocode all the posts.<br />
This works great but doesn’t really allow for easy editing or show this information on for instance a map.</p>
<p>Current features:</p>
<ul>
<li>Editing the location provided by the mobile app from the post edit screen.</li>
<li>Showing a widget with the latest x (configurable number) posts that have a geolocation (loads async).</li>
<li>Automatically looking up the locality of a new post.</li>
<li>Exposing a ‘geo’ object for each post in the REST api with ‘latitude’, ‘longitude’ and ‘locality’.</li>
<li>Posts from the mobile app connected through wordpress.com get the geo_public set automatically.</li>
</ul>
<p>Things that are on my wish list are:</p>
<ul>
<li>Manually bulk geocoding old posts.</li>
<li>Displaying the geocoded posts on a map with a shortcode or something.</li>
</ul>
<h4>Notes</h4>
<ol>
<li>If you like the plugin <a href="https://svrooij.nl/buy-me-a-beer/" rel="nofollow ugc">buy me a beer</a></li>
<li>Something wrong with this plugin? <a href="https://github.com/svrooij/wp-geocoded-posts/issues" rel="nofollow ugc">Report issue on Github</a></li>
</ol>
<p>For development we use Github in combination with Grunt for easier deployment. If you run <code>npm install</code> and <code>grunt build</code> in the cloned <a href="https://github.com/svrooij/wp-geocoded-posts/" rel="nofollow ugc">repository</a> it will produce a build folder. This folder contains all the files needed to run the plugin.</p>


Geocoded posts

Better location management with Location posts widget, location editor and location data in the REST api.

dsamourkasidis

<p>Map Visualizer allows users to import csv files, and to create a map out of them using the plugin’s interface.<br />
After you have successfully imported (or created) a data source, you can visualise it on a map and add it to your posts/pages with a shortcode.<br />
All shortcodes can be constructed easily through the plugin’s interface.</p>
<h4>CSV File Format</h4>
<p>In order for the CSV file to be imported successfully, its format must comply with the following rules:</p>
<ul>
<li>
<p>The first row must contain all the Header names:</p>
<ul>
<li>If you use geographical coordinates, the headers of <em>the first two column</em> must be named “Latitude” and “Longitude” respectively. </li>
<li>If you use addresses, the <em>first column</em> must be named “Address” and the plugin will geocode the data accordingly.</li>
<li>If you wish to use polygons, the <em>first column</em> must be named “Polygon”. Format of polygon data should be of Well-Known Text.</li>
</ul>
</li>
<li>
<p>The second row must contain the data type of each column:</p>
<ul>
<li>Available data types include “INT”, “FLOAT” and “TEXT”.</li>
<li>For “Latitude” and “Longitude” headers, the data type to be used is “FLOAT”.</li>
<li>For “Polygon” or “Address” headers, the data type to be used is “TEXT”.</li>
</ul>
</li>
</ul>
<h4>shortcode format</h4>
<p>The general format of this plugin’s shortcodes is [visualise]. Available attributes include:</p>
<ul>
<li>“file_name” : The name of the file imported you wish to visualise.</li>
<li>“map” : The map type to be used for the visualization. You can choose between “Satellite” or “Streets” maps and the default one is “Streets”.</li>
<li>“type” : Type of visualization. Either visualise your data as “polygon” or as “marker”. Default type is “marker”.</li>
<li>“marker_type” : Choose between “simple marker” or “circle_marker” to be pinned on the chosen map. The default markers are “simple marker”.</li>
<li>“category” : Header Name of your file, which will be used to differentiate the data based on the marker_type chosen.</li>
<li>“colorant” : Color of circle_markers and polygons, used to differentiate the data.</li>
<li>“circle_radius” : Radius of circle_markers. The default value is 5, and it is advised to stay between a 1-10 scale.</li>
<li>“fill_opacity” : Level of opacity for circle_markers and polygons. The default value is 0.3, and it is advised to stay between a 0.1-1 scale.</li>
<li>“center_point” : An Address for setting the initial center point of the map.</li>
<li>“zoom” : Initial zoom of the map. Value 1 shows the entire world map and the default zoom used is 3.</li>
</ul>


Map Visualizer

Import your data from csv files and visualise them on Google streets/satellite maps

Geocoded posts vs Map Visualizer