So last night in my spatial analysis class, we covered statistics ... very basic statistics. Since I finished my Python homework, I decided I'll just do some research! My database project this semester is going to focus on open source and web data interconnectivity. In this age, that means cloud computing. Next semester I'll probably try to offer some service like that when we set up ArcGIS servers. For now, I wanted to see what was on the market. Behold,
It's sort of hard to navigate their website to find their web API, but they offer REST and JavaScript API to access their tools. You find it by going to "Apps," and then going to "Web Map Portal" where they link to what that offers. THEN it finally links to their API which is an entirely different subdomain.
I actually found this from Google directly by porting through GitHub, but I went back to figure out where to find it on their website, and as I layout above, it isn't exactly easy to find! Nevertheless, check out their examples and demos.
The first thing I noticed, it was very fast. In fact, it was faster than Google and faster than running ArcGIS. I assume it is because the content is in the cloud. You request the information you need. It is cached on your system and in memory. Thus, unlike Google you don't need to download a bunch of information. You tailor it to exactly what you want to display. Unlike ArcGIS, you don't need the entire suite open. Thus, you're dealing with a minimal amount of content. Everything was snappy, easy to use, the JS is short and simple. I love it! I'll have to learn more about this and play with it later if I can.
It's sort of hard to navigate their website to find their web API, but they offer REST and JavaScript API to access their tools. You find it by going to "Apps," and then going to "Web Map Portal" where they link to what that offers. THEN it finally links to their API which is an entirely different subdomain.
I actually found this from Google directly by porting through GitHub, but I went back to figure out where to find it on their website, and as I layout above, it isn't exactly easy to find! Nevertheless, check out their examples and demos.
The first thing I noticed, it was very fast. In fact, it was faster than Google and faster than running ArcGIS. I assume it is because the content is in the cloud. You request the information you need. It is cached on your system and in memory. Thus, unlike Google you don't need to download a bunch of information. You tailor it to exactly what you want to display. Unlike ArcGIS, you don't need the entire suite open. Thus, you're dealing with a minimal amount of content. Everything was snappy, easy to use, the JS is short and simple. I love it! I'll have to learn more about this and play with it later if I can.