Esri

Recently I had the need to pull data from ArcGIS Online into a Mapbox GL JS web map. While it would be possible to use the WMS publishing feature in AGOL to display this layer, what would be ideal is to have access to the raw data. The data also needs updated on a regular basis, so manually downloading a copy from AGOL is not an option.

Update 2017-08-01 This app has seen two more iterations. These each utilize an mbtiles-server to host the vector tiles, but still use client-side search for the data. The updated examples can be viewed here - a Leaflet/Bootstrap Version and a Mapbox/Material Design Lite Version.

Recently I had to do a series of field checks scattered throughout the city. There are several ways one could tackle this task in order to create a table of all the locations and find a good route. There are mobile apps, various websites, utilizing google maps (10 location limit) or using tools within ArcMap. I could have also utilized our own address database, or our customer database, selected all 20 entries and gone from there. However, I thought this would be a great opportunity to test out Google’s new fusion tables/mapping feature.

Here I explain how to create a raster catalog in order to have a mosaic of a set of images. This way you can always add or change the images instead of just creating a static mosaic. I also find it much easier than dealing with the other ways of creating mosaic catalogs, etc.

One of the clients I work with utilizes unmanaged raster catalogs as part of their work flow. We manage over 20 raster catalogs with close to 4gb of imagery in both georeferenced jpgs and regular tifs. The imagery is black and white for the most part, some using the cg4 compression to get insanely small file sizes. We are now in the process of moving to the cloud, and they have chosen www.giscloud.com for their hosting, for reasons beyond the scope of this short post. The question: how to get these raster catalogs - which multiple images stitched together via the catalog with no data set so that they can overlap - into one image, small in file size and readable on the cloud.