function conference(greatSpeach) {
greatSpeach.tell = 'Go!';
}
let intro = {
girl: 'Khrystyna',
student: true,
location: 'Chernivtsi',
tell : 'Waiting'
};
let ready, set;
ready = intro.tell;
myFunc(intro);
set = intro.tell;
CARTO previously known as CartoDB is the best platform for complex and dynamic geospatial data visualization and analysis. But don’t be afraid it offers also a lot of drag and drop easy to use tools for newbies.
Mapbox is a geo-visualization platform that gives easy to use set of tool for creating beautiful web and mobile maps. It offers users a full control over map styling (including background map) and has a lot of cool additional services such as satellite images, geocoding or directions.
Here Data Lens is a set of APIs that provide a seamless developer experience for creation & deployment cool data visualisations. Most importantly it gives you an access to amazing HERE’s maps database with unique features like isoline routing.
Maps4news is a platform that allows for designing cool looking maps online and downloading them in a vector format needed for printed media (and for editing by designers). There is some basic interactivity that you can add if you want to publish it online.
Absolutely!!!
Let me show you
Google Streetview image requests must include
the size and location parameters.
You'll also need to use jQuery's append method to add an <img> to the page.
For example: $body.append('<img class="bgimg" src="http://example.com/someimage.png">');
Notice how the new <img> HTML element is just
a string passed into.append().
function geocodeAddress(geocoder) {
var city = document.getElementById('city').value;
var geocoder = new google.maps.Geocoder();
geocoder.geocode({"address": city}, function (results, status) {
...
...
if (status == google.maps.GeocoderStatus.OK
&& results.length > 0) {
var location = results[0].geometry.location,
lat = location.lat(),
lng = location.lng();
var latlongvalue = lat + "," + lng;
...
...
var img_url = "https://maps.googleapis.com/
maps/api/streetview?location="+latlongvalue+"
&zoom=20&size=900x700&key=
YOUR_API_KEY
&callback=getLocation";
document.getElementById
("mapholder").innerHTML =
"<img src='" + img_url + "'>";
}
})
}
A geohash is a string that encodes a bounding box on the globe, with each character in that string being more precise. For example, a 1 character geohash is about 5,000km², while a 9 character string is about 4.77m². It works by segmenting the globe into a set of alphanumeric characters, then segments each segment by the same pattern - like a recursive function or fractal.
The query above will give us everything in that geohash square, but doesn’t take into account its neighbors. You could have points that are adjacent within 1 nanometer, but not show up in the query because they fall into a different hash.
In the picture below, only values that fall in the blue geohash boundary will be returned.
npm install geofirex
<agm-map [latitude]="34"
[longitude]="-113"
[zoom]="8">
<agm-marker
*ngFor="let point of points
| async; trackBy: trackByFn"
[latitude]="point.position.geopoint.latitude"
[longitude]="point.position.geopoint.longitude">
<agm-info-window>
<h1>This point is
{{ point.queryMetadata.distance }}
kilometers from the center</h1>
</agm-info-window>
</agm-marker>
</agm-map>
[key: string]: {
geohash: string; // the geohash
geopoint: GeoPoint // firestore.GeoPoint
}
@Component(...)
export class MyComponent {
ngOnInit() {
const collection =
this.geo.collection('places')
const center = geo.point(38, -119);
const radius = 100;
const field = 'point';
this.points =
collection.within(center, radius, field);
this.points.subscribe()
}
}