The more I'm thinking about it, the more I consider it.
I want to add a map for my bicycle rides, but I can't find any good PHP maps. The PHP versions of Leaflet on GitHub are no good. They don't work at all. They just gives you errors like "can't load class" or something like that.
So even if I am against it only to challenge myself, I consider using Leaflet in JS for airikr.me/biking.
Or do you have any solution in PHP that works out of the box?
Here is a video I made showing how to use the web map GISsurfer (I am dev) to split your screen and ‘surf’ data on any ArcGIS server with a public table of contents.
Drill down to a layer on the left side of the screen, click the layer and that data appears on the map on the right side of your screen. You might need to zoom in/out since some data only appears at certain zoom levels.
The video also shows how to make a GISsurfer link to automatically display the layers you have turned on.
My list of talks is a #Hugo data template for a while now. That's now enriched with metadata, especially coordinates. And the website got a map showing all the locations.
The GeoJPG web app version 2 is ready for use. 🥳 🎉 🍻 📣 You can view your own custom maps offline on both iOS and Android devices with NO ads, NO tracking, NO signup and NO fees.
I developed the GeoJPG web app as a public service and part of my way to ‘pay it forward’. This is not a commercial product of any nature. I am making this freely available simply because I can.
GeoJPG is not available in any app store. To install it for offline use, open the web app link, tap “Yes” and then carefully follow the instructions you will see.
Trouble sleeping?
Try writing software documentation. 😴 😴 😴 😴😴 😴 😴 😴
Time for a 🛌
GeoJPG v2 launch on target for March 19 - maybe sooner.
Make your own custom maps, host them for free on Google Drive, view them offline and see your geolocation.
No ads. No tracking. No signup. No cost.
I am developing this as a public service and part of my way to "pay it forward". Plus I am having a blast doing this since - to the best of my knowledge - this is a new approach to offline maps.
I've been playing with #OpenStreetMaps via #osmnx, which is awesome , but I struggle with simple stuff like adding a bunch of places as markers. Everything looks a bit like the owl drawing meme, either showing something too easy and useless, or something too advanced and also useless or beyond my comprehension. Maybe some other Python tools?
(I know about Marcelo's fabulous PrettyMaps but it is not exactly a viz tool)
@villares I have used #Leaflet before and it is pretty easy to have a map running with custom markers. I didn't do anything big, but for smaller maps (maybe bigger ones too), it is a great suggestion from @slackline
Hey #GISChat / #QGIS Chat: is there a tool to export a web map with raster layers that gives the user an identify tool to get the raster values? #Qgis2web and #qgis2threejs will show the raster but I couldn't find a way to get an identify tool for raster values, ideally supporting multiple bands
Decided to do something “simple” for today. Here is a map of all ferry routes ⛴️ in the #Philippines 🇵🇭 that have been mapped in #OpenStreetMap. Data has been extracted via #OverpassTurbo (data licensed under ODbL 1.0) and rendered via #Leaflet.
Since the Philippines is an archipelago, ferries and boats are important means of transportation especially since the thousands of small islands are too small to host airstrips.
This may be totally lost in the posit conf noise, but I really love the #leaflet#rstats package. It scratches that "looks impressive but is actually really easy" itch. I was thinking of writing up a few tips and tricks that I've learned using it over the past few years, starting with de-emphasising areas outside of a region of interest. Give it a read if you're interested! https://jack-davison.github.io/posts/2023-09-16-ILL-ShadeOut/
One of my colleagues just completed an insane #Leaflet web map that displays every single NOAA Airborne Gamma Snow Survey since 1981. This historical #snow map summarizes all our efforts to measure snow water equivalent across CONUS and Alaska. It's possibly one of the coolest hidden gems in all of NOAA's science program. We convert the attenuation of naturally occurring gamma radiation into soil moisture and snow water equivalent. Map can be browsed here: https://www.nohrsc.noaa.gov/special/leaflet/2024/SWE_History/
Site analysis for Retail it's a bit more complicated than creating Voronoi's diagrams
And yet, I see companies using the images to attract attention
Can't blame them, they look pretty as the one I made in #rstats and #leaflet in a few lines and minutes
It depends on what you want to communicate
Dark red symbols are heat detections by MODIS and VIIRS satellites within prior 6 hours. This data is not real time, locations are approximate and sometimes ‘false positive”. Two links in upper left corner have more info.
Dark red symbols are heat detections by MODIS and VIIRS satellites within prior 6 hours. This data is not real time, locations are approximate and sometimes ‘false positive”. Two links in upper left corner have more info.
If you open this #HurricaneHilary map and zoom in a bit then labels will appear on the black lines showing the most likely time that tropical storm wind will arrive. Tropical storm wind speeds are in the range 39mph to 73mph.
Map has lots of other layers of #GIS weather data you can turn on. Click “Map tips” in upper left corner for help.
#HurricaneHilary interactive #GIS map. When the map opens the layer with NOAA’s forecast discussion is on top. Click inside any red-outlined area and follow the link. Screenshot from #SanDiego area discussion.
Map has lots of weather layers you can turn on but only the ‘top’ layer is clickable. For help please read the “Map tips” link in the upper left corner.
Interactive #GIS map always displays latest forecast for Tropical Storm #Hilary - soon to be #HurricaneHilary. The ‘forecast position’ overlay can be clicked for details.