Address lookups with Leaflet and Nominatim
I recently wrote a patch for joind.in to add a map of an event's location to the event detail page. With the same patch, I also replaced the location part of the event edit page with a solution that uses JQuery, Leaflet as map API, OpenStreetMap tiles and Nominatim for doing address lookups. This article forms a small tutorial on how to use this same set-up yourself.
The Basics
To start, we create a new directory for our project:
mkdir addresses cd addresses
Then I downloaded the Leaflet and jQuery libraries and extracted them in the js directory of the project:
mkdir js curl -L https://github.com/CloudMade/Leaflet/zipball/v0.4.5 -o leaflet.zip unzip leaflet.zip mv CloudMade-Leaflet-*/dist/* js rm -rf CloudMade-Leaflet-* rm leaflet.zip curl http://code.jquery.com/jquery-1.8.2.min.js -o js/jquery-1.8.2.min.js
As first step, we are simply going to show a map on a web page. The map is going to be full screen, and will not have any bells and whistles. The code to embed a map is small, but we will separate it into three files for clarity: a CSS file for our styles (site.css), an HTML file for the structure (index.html) and a JS file for all our JavaScript functions (js/map.js).
Let's start with the HTML file:
<html>
<head>
<title>Leaflet and Nominatim example</title>
<link rel="stylesheet" href="js/leaflet.css" />
<!--[if lte IE 8]><link rel="stylesheet" href="js/leaflet.ie.css" /><![endif]-->
<link rel="stylesheet" type="text/css" href="site.css">
<script src="js/leaflet.js"></script>
<script src="js/jquery-1.8.2.min.js"></script>
</head>
<body>
<div id="map"/>
<script src="js/map.js"></script>
</body>
</html>
This HTML file includes the Leaflet and jQuery libraries, as well as the default CSS file that Leaflet needs. We are also including our own CSS file (site.css):
body {
margin: 0;
}
div#map {
width: 100%;
height: 100%;
}
In the body of the HTML file, we place a <div> as contained for the map, and then include a JavaScript file that is responsible for embedding them map:
var map;
function load_map() {
map = new L.Map('map', {zoomControl: false});
var osmUrl = 'http://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png',
osmAttribution = 'Map data © 2012 <a href="http://openstreetmap.org">OpenStreetMap</a> contributors',
osm = new L.TileLayer(osmUrl, {maxZoom: 18, attribution: osmAttribution});
map.setView(new L.LatLng(51.538594, -0.198075), 12).addLayer(osm);
}
window.onload = load_map;
If you request the index.html page now through the browser, you will see something like:
Adding the Address Search
In order to add an address lookup form, we need to add more HTML. Our HTML will feature an input box (for the address), a submit button, and a place holder to show our results in. We add this code between the <div id="map"/> and the <script... tags:
<div id="search"> <input type="text" name="addr" value="" id="addr" size="10" /> <button type="button" onclick="addr_search();">Search</button> <div id="results"/> </div>
To style this, we add the following at the end of our CSS file:
div#search {
background-color: white;
position: absolute;
bottom: 40px;
left: 40px;
width: auto;
height: auto;
padding: 10px;
}
div#search input {
width: 200px;
}
div#results {
font-style: sans-serif;
color: black;
font-size: 75%;
}
If we reload the page in our browser, we will see something like:
Now the only thing left to do is to implement the addr_search function. In our JS file (js/map.js) we add before window.onload = load_map; the following lines (split over multiple sections in this tutorial):
function addr_search() {
var inp = document.getElementById("addr");
$.getJSON('http://nominatim.openstreetmap.org/search?format=json&limit=5&q=' + inp.value, function(data) {
This above line uses jQuery's AJAX capabilities to request a URL, parse the JSON result and issue a callback if it worked. We query Nominatim here, with as format json and limiting the result to 5 items. Nominatim also supports other parameters, which are documented here.
var items = [];
$.each(data, function(key, val) {
items.push(
"<li><a href='#' onclick='chooseAddr(" +
val.lat + ", " + val.lon + ");return false;'>" + val.display_name +
'</a></li>'
);
});
For each of the items in our result, we create an <li> element which has an <a href containing a call to a JavaScript function (chooseAddr). This function is responsible for re-centering the map according to the picked latitude and longitude.
$('#results').empty();
if (items.length != 0) {
$('<p>', { html: "Search results:" }).appendTo('#results');
$('<ul/>', {
'class': 'my-new-list',
html: items.join('')
}).appendTo('#results');
} else {
$('<p>', { html: "No results found" }).appendTo('#results');
}
});
}
This processes the results that came back from Nominatim. If there are results, we shows those including a Search results: header, and if there are no results, we show No results found.
Then we need to add one more function, the chooseAddr function which looks like:
function chooseAddr(lat, lng, type) {
var location = new L.LatLng(lat, lng);
map.panTo(location);
if (type == 'city' || type == 'administrative') {
map.setZoom(11);
} else {
map.setZoom(13);
}
}
We simply use the latitude and longitude from the function invocation, and in order to make things slightly nicer we zoom in a bit less if the item type is either a city or an administrative border. As each of the returned results actually includes a full bounding box, we probably can use that to zoom in better, but I will leave that for your own experiments - you'd want the panInsideBounds() method of Leaflet's Map class for that.
In the end, if we click on the Search button, a list is presented of all our search results:
And after clicking one of the links, we see the map centered on Paris:
The code for this example is available on github in my osm-tools repository at https://github.com/derickr/osm-tools/tree/master/leaflet-nominatim-example
Life Line
Little Owl owlet
This lovely owlet was quite easy to find in a London Park, with some help as they camouflage so well!
I saw its sibling too.
#BirdPhotography #BirdsOfFediverse #Photography #Nature #London #BirdsOfMastodon
I went to a park (Bushy Park) to look for some owls.
I found Owls (Little and Tawny), but also a Green Woodpecker and two Kingfishers.
Snaps from my camera screen, and real photos will follow, but not of the Kingfishers as they were too far away and the photos are blurry.
#london #BirdPhotogaphy #BirdsOfMastodon #Birds #photography #BirdsOfFediverse #BushyPark
I hiked 13.8km in 4h44m12s
Created a chocolate shop and a restaurant; Updated 6 restaurants and an address; Confirmed 5 restaurants, a community_centre, and 3 other objects
Created a restaurant, a fast_food, and 2 other objects; Deleted a restaurant
I walked 8.5km in 1h31m45s
Created 2 buildings and a hairdresser shop; Updated a restaurant and an estate_agent office; Confirmed a cafe
I walked 2.2km in 38m09s
Merged pull request #1096
Bump actions/checkout from 6 to 7
Merged pull request #1095
Improve Tiverton Green mapping
Created 2 gates
I walked 7.1km in 1h23m15s
I walked 1.0km in 9m24s
Realign streets. They now have much less wide corners into each other.
Updated a fast_food
I walked 9.1km in 1h35m41s
I hiked 4.7km in 3h24m10s
I walked 6.7km in 1h12m03s
I walked 7.7km in 1h47m24s
Updated a pub
Updated a pub
Created a bar; Updated a bar; Confirmed a restaurant and a bar




Shortlink
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