New answers tagged web-mapping
-1
You could set up a Leaflet map (on an Amazon, Google, or other server) that reads a "dynamic" geojson file that is created and updated by your python module.
https://leafletjs.com/examples/quick-start/
If you are just using points as markers you can generate the geojson file with python. Take an example from here on what a geojson "looks"...
0
This isn't your exact technology, but you might want to look through the code for some of Leaflet's Clustering/Decluttering plugins.
If I recall, we use the Leaflet.markercluster plugin in our stuff. It looks kinda like this..
Then, if you click on one of the clustering icons (I chose a VERY busy one for example), notice how it offsets the individual icons ...
1
I recommend you consider Leaflet or OpenLayers ..personally, I prefer Leaflet. If you don't have "that many" location points, I'd just convert them into a JSON file or a GeoJSON file and load them all on $(document).ready(). When I say "that many", obviously that threshold is subjective. I consider it to be around 2000 points/features.
If ...
1
In your link you have a section labeled PROCESSING STARTS HERE. You could try wrapping your processing steps in a ui.Button object:
var submit = ui.Button({
label: 'Calculate NDVI',
onClick: function() {
var date_start = startDate.getValue();
var date_end= endDate.getValue();
// ...
// The rest of your processing code here
// Be sure ...
0
Earth Engine Apps automatically “run the code”. You can see that it's working in your app because the custom left sidebar appears — if the code were not run there would be just a blank map.
If you need a button to take a specific action or reset things, use a ui.Button set up by your code.
In your case, the problem is not that your code is not running. The ...
0
Solution was to first us pct2rgb.py to convert images to multiband rasters. Then use gdal_translate to add overviews and compression. Images now overlay correctly in WMS and can be rendered as PNG with transparency using QGIS. Hacky Python script below:
#!/usr/bin/env python
import sys
import os
from osgeo import gdal
import datetime
def my_print(text):
...
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