goiblas

<p>The Map Block Leaflet is designed to work with the <a href="https://wordpress.org/plugins/gutenberg/" title="Gutenberg Plugin" rel="ugc">Gutenberg editor</a>. It has been created to facilitate, as much as possible, embed maps in the content without the need to include an API key and be able to customize it visually.</p>
<p><strong>Contribute:</strong></p>
<p>This plugin is open source software, and you may actively contribute on <a href="https://github.com/goiblas/leaft-map-block" title="Map Block Leaflet Repository" rel="nofollow ugc">Github</a>.</p>
<h3>Installation & Setup</h3>
<p>Note: This plugin requires WordPress 5 or the Gutenberg plugin active.</p>
<ol>
<li>Upload ‘leaflet-map-block’ to the ‘/wp-content/plugins/’ directory.</li>
<li>Activate the plugin through the ‘Plugins’ menu in WordPress.</li>
<li>Add new block, find it in the category embed.</li>
<li>Search a location and change the option until you get the disdained look.</li>
<li>Publish and enjoy</li>
</ol>


Map Block Leaflet

Works great, looks great; highly recommended.

I wanted to avoid gutenburg in my own plugin, and this plugin seems to work perfectly.

- Author of https://wordpress.org/plugins/leaflet-map/

Fantastic


Simple to use and supported. 



Great plugin to use on your website 💪 when displaying maps with custom multiple markers.



Thank you.


Super easy to use and great support

Embed maps in content without needing to include an API key.

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

Map Block Leaflet vs Map Visualizer