I have a ~ 8 GiB GeoJSON file. What's would you use to compress it? gzip is regular and fast, but not as space saving. Something installable via apt on debian

(and no cheeky answers like converting it out of geojson! 😛 I wanna know what The Cool Kids are using as compression tools now-a-days)
#gischat #geojson #unix

looking to #programmatically #transform data from a proprietary #XML format into an open #JSON format, #geojson to be specific.

any suggestions on good ways to proceed using #python?

Emphasis should be placed on the *transform* step (e.g., I can't simply convert the XML to JSON, I need to modify fields/values).

#ETL #question

et hop, plus de 3000 bornes de recharge électriques intégrées (progressivement par zones et après vérification à la mano) dans osm grâce à mon mappeur de donnés geojson en provenance de du jeu de données datagouv vers #openstreetmap

https://forge.chapril.org/tykayn/scripts/src/branch/master/mapping_geojson_to_osm_tags

ce dépôt permet de mapper des propriétés de #geojson à partir d'une configuration en json qui va prendre et transformer les données selon des critères simples ou complexes, le tout en #nodejs et #typescript.
vous pouvez déjà créer vos propres fichiers de configuration de mapping. le script npm start vous montre comment personnaliser la commande de conversion.

on peut ensuite transformer le geojson en fichier osm à utiliser dans l'éditeur #josm avec geojsontoosm.

havez fun

PostGIS is so cool, did you know you can just make it return rows as GeoJSON?

Say you have a table with an id, location and other columns. You can `SELECT ST_AsGeoJSON(t.*) FROM thetable AS t` and it will return niceley formatted #GeoJSON puttin all extra columns as "properties". Even the SRID of the location will be added 🤩

#PostgreSQL #PostGIS

Given a collection of geoJSON features, adjoining polygons, is it possible to collate or collapse them to be just the outer boundaries of adjacent features? A handy library or postGIS thing? #geoJSON #postGIS

It is always a good idea to optimise your GeoJSON files if you are going to use them on the web. Often GeoJSON files can be bloated because GIS software will output ~15 decimal places on every coordinate. That is effectively to Angstrom accuracy - atomic scales! In a big GeoJSON file, as much as 40% of the file size can be due to entirely unnecessary precision. I've made a simple tool to help optimise #GeoJSON files at https://open-innovations.github.io/geojson-minify/

So it seems that I can do something a bit hacky with #Jekyll and have event pages be able to have #geojson files sitting next to their #Markdown ones, and the map will show them. I was too busy trying to make it work to ask anyone if this is what we want. Still, that's fun isn't it?

Konverter von #geojson nach #GPXwaypoints selbst schreiben, um die Inhalte diverser Dienste auf #Radreisen alle in meiner #Karte zu haben.

Was man eben so an einem WE macht...

With #zabbix #htmlagent and #grafana, there are also #environmental readings like #weather and #radiation now. I like it!

#geojson #json #opendata #homelab

GeoJSON Utilities - Anzeige, Auswahl und Export von Verwaltungsgebieten in Deutschland http://opendatalab.de/projects/geojson-utilities/ #geojson #germany #utils #map

From bertin@1.6.5, it is possible to rewind the geojson display in each layer using rewind = true #JSspatial #bertinjs #geojson

I love my code:
- translated from local #RStats to #sagemaker #python
- connects to #AWS 's RDS and S3
- makes #API calls
- uses #geojson and intersection

(still, for handling dataframes, R is better IMO)

Having incredible difficulty getting #RStats to read #spatial data types (shapefiles, kml); no idea how to convert area and length from a csv.

#GeoJSON file is taking forever to generate.

Shapefile works just fine in #QGIS, which makes me think it's an #R thing (perish the thought).

Don't know what else to try at the moment.

GitHub changed its awsome rendering of #geojson from #leaflet & #openstreetmaps to Microsoft Azure Maps and now nothings works anymore due to CORS and CSP. Not even the feedback button ... not even in Edge 🙄

Or is this just me?

https://github.com/olithissen/AwacsOrbitsDE/blob/main/awacs_orbits_de.geojson

New geodata post is up! Covering topics such as

- Converting "shapefile" data into something web apps can actually use
- What is an SRID anyway and why should you care?

https://imfeld.dev/writing/loading_geographic_data_in_a_format_you_can_actually_use

#gis #geojson

"A map of the United States"

Polygons in GeoJSON

- ChatGPT 2023

NOTE: Only the green shaded areas were drawn by ChatGPT. The underlying map is just for reference.

#ChatGPT #Maps #GeoJSON #UnitedStates #Cartography

"A map of Australia"

Polygons in GeoJSON

- ChatGPT 2023

#ChatGPT #GeoJSON #Cartography

The first article in my new series on geographic data is live. This one sets the stage for later topics by introducing GeoJSON.
https://imfeld.dev/writing/introduction_to_geojson

#gis #geojson

It looks like I've missed #Ingenuity having already flown its 42nd flight:

Using #QGIS with #HiRISE and #MMGIS #GeoJSON data from #NASA

#MarsHelicopter #Mars2020 #Solarocks #Space

Great map showing lighthouses in Europe, from the Geodienst researchers of Groningen University (https://www.geodienst.xyz/): https://geodienst.github.io/lighthousemap/

Project: https://github.com/geodienst/lighthousemap
The lighthouse data is in JSON format.

Here is a view of southern Europe. Location, color, pattern and area covered are all real.

h/t @Lambo 👍 !

#OpenStreetMap #lighthouse #geojson #map