Your tutorials are very easy to follow and it is interesting to see how to run Leaflet in a different way. I learned it with javascript and never realized it could be used like this.
You would probably get more views and upvotes if you changed some of your category tags. Coding is the only one that other people might see, the rest aren't really being used right now. I put GIS in my last post to encourage its use, but as a new member you might want to try categories like steemstem statistics maps and programming to get more exposure and find other like-minded users. Properly referencing sources and linking to the software will also help you. It takes a little html to make it look nice, but you seem pretty good at coding! Keep up the good work!
I too learned web-based GIS on javascript (mostly google maps API) but fell into the world of R as I began graduate school. I find that there are many students and researchers who understand R due to their need for statistics computation but they aren't aware of how to present their findings in a spatial context.
Interesting...statistics can say a lot on their own, but visualizing that data spatially makes it easier to identify trends that the numbers might not show. I am excited to see how you apply this to your research!
Your tutorials are very easy to follow and it is interesting to see how to run Leaflet in a different way. I learned it with javascript and never realized it could be used like this.
You would probably get more views and upvotes if you changed some of your category tags. Coding is the only one that other people might see, the rest aren't really being used right now. I put GIS in my last post to encourage its use, but as a new member you might want to try categories like steemstem statistics maps and programming to get more exposure and find other like-minded users. Properly referencing sources and linking to the software will also help you. It takes a little html to make it look nice, but you seem pretty good at coding! Keep up the good work!
Thank you @gra !
I too learned web-based GIS on javascript (mostly google maps API) but fell into the world of R as I began graduate school. I find that there are many students and researchers who understand R due to their need for statistics computation but they aren't aware of how to present their findings in a spatial context.
ps - thanks for the typo correction!
Interesting...statistics can say a lot on their own, but visualizing that data spatially makes it easier to identify trends that the numbers might not show. I am excited to see how you apply this to your research!
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STOPThis post has received a 3.13 % upvote from @drotto thanks to: @gra.
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You do a great job. @gra Have a nice day! :)
Thank you @hdmed ! I appreciate the support :)