I have a #GeoJSON file which is ~10MB. Even when compressed it is about 2MB.
It provides a cluster of ~28k points displayed on a #Leaflet map.
Is there a sensible way to make this more efficient? Can I start will a small GeoJSON of just the clusters and then "stream" in more detailed files when users zoom in?
Besides following hashtags, such as #GISChat, #QGIS, #FOSS4G, and #OSGeo, curating good lists is probably the best way to stay up to date with geospatial developments. To get you started (or to potentially enrich your existing lists), I thought I'd share my #Geospatial and #SpatialDataScience lists with you.
This is a bit of a long shot, but if there are any #Svelte developers out there interested in mapping who would be willing to spend a bit of time helping a novice (me) out in some experiments to improve UX in web apps for sustainable transport planning, please get in touch. #GeoSpatial#DataScience
before I rabbit hole this, is there a resource/tutorial/package out there where if I have a point on a 🇺🇸 map that I can
(a) enter a "max travel time" value (say, "45 minutes”) into a function to then get an radius for a circle overlay? i grok this will be an approximation.
(b) get the approximate population of said circular area?
Trying to build a "what if” simulator that will be FOSS.
Interactive #GIS map always displays the current weather watches and warnings. For details from NOAA, open the map, click any colored area and follow the link.
To search on your city or address, click Menu > Search.
For the legend and help with the map, click “Map tips” in the upper left corner. #Geospatial#Spatial
Looking for #GIS data? I curate a list of 3,000 addresses for government ArcGIS servers, from federal to local. Each week my code scans each address and any bad links are fixed or flagged. An updated list is usually posted each Wednesday.
NOAA’s forecast discussion will give you excellent insight into what to expect over the next few days. This interactive #GIS#WebMap always gives access to the latest discussion.
Open the map, click inside any red area and follow the link.
The text in the screenshot is for the Phoenix area as of 4:50 AM MST Fri Jul 7 2023. #Geospatial#ArcGIS#Leaflet
🦆 DuckDB ça vous parle ? C'est l'un des sujets data du moment 📊
🗺️ Mais au fait, pour les données géographiques ?
@florent001 publie un article sur sur la façon dont DuckDB fait bouger les lignes (ou devrais-je dire les colonnes 😉 ) pour le traitement des données spatiales.
Après quelques éléments de compréhension (format #Parquet, projections...), il donne des exemples pratiques avec les données de l'@overturemaps
Looking for a single PowerPoint slide that encapsulates what #QGIS is and its capabilities, especially in a business context. Has anyone come across something vaguely fitting? 🗺️🖥️ #GIS#GISchat#Geospatial
Red marker on this interactive GIS map is at #WrightsvilleReservoir Vermont. To see the water height at the #WrightsvilleDam click the blue dot just to the south and follow the link. Updates at top of each hour.
Interactive #GIS map can display near real time “Heat index”. Open the map, click any yellow circle, follow the link. You will see a table of weather readings. Note the “Heat index” column.
The map can display a bunch of other weather related layers. Click “Map tips” upper left corner for help.
I did not know edge bundling of trajectory data was such a niche use case, that it isn't widely adapted in Python.
I am trying to visualize some EU-wide mobility and edge bundling would be great. There are some cool non-geographic implementations around (Datashader, Holoviews), but they do not work well with geographic data and #GeoPandas dataframes.
Luckily there are these obscure repositories with some #geospatial implementations, but dunno whether I need to debug bunch of code.
Wondering about putting some sort of geospatial meetup on the #emfcamp schedule - just a time to meet in the lounge/bar and geek-out about geo. What do you think @Emily_S@ultrazool@Laura (I think I got the right Laura!) and anyone else geo I know going?
Had the pleasure of talking to employees of Statistics Iceland (Iceland’s statistical office) last week. Made an informal invite to 2-3 employees to talk about how we the Icelandic Met Office uses #opensource solutions like #qgis along with #python to process and visualize #geospatial data. Turned out that there was much interest in the topic that more than 30 people showed up!
Sharing knowledge across agencies par excellence 🤝
I know it's an old argument for #geospatial and #tech folk but What Three Words really is terrible. Two simple typos in a list of locations sent to me completely changes the details of the routing that's needed.