ESRI tutorials

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ESRI tutorials: http://desktop.arcgis.com/en/desktop/latest/main/get-started/arcgis-tutorials.htm

To do

Watershed delineation using LiDAR or DEM data

NetCDF

Editing Parcel Fabric: Very interesting but I don't think I need it right now. There is a class of feature dataset called a "Parcel Fabric Dataset" and a set of tools for editing a fabric.

Data driven pages

ArcPy and Python scripting

Model builder - execute

Model builder - create

DB Servers

Rasters and images

  • stretch
  • make a bunch of images have the same color spectrum for proper display
  • find things in shadows

NA Extension

SA Extension

3A Extension

Maplex

Find a route

GeoDatabases


Geocoding

Representations

Already been here

Data: Downloaded the tutorial data, 1.6 GB! It is in an EXE file and installs like an application. It will _only_ install to C:\arcgis\ArcTutor, no matter how politely you ask for D:\

Editing: In this tutorial, they teach you how to do some operations like buffering that IMO might best be done in a model or script so that they are repeatable. I like documented, repeatable operations, it seems lots of GIS is done in a quick and dirty style to me. Same goes for all the operations in the Geoprocessing tab in ArcMap. Those are just shortcuts to tools. YMMV; your shop may condone this style and you need it in a hurry. Then you need the same thing done again tomorrow in a big hurry. And the next day... then a month later and you can't remember what the heck you did. Clip then buffer or was it select then buffer then...??

Not sure if the section on annotation fits in the editing tutorial.

The sections on working with the Topology toolbar were interesting.

I enjoyed the sections on the Spatial Adjustment toolbar, especially the method of copying attributes. Wish I'd had that when I was working on City of Corvallis waste water updates.

Geoprocessing: This one takes you through the steps to do simple geoprocessing including the tools in ArcMap, the toolbox, and in building simple models.

Linear referencing: For a project working with stream reaches a while back I needed linear referencing. We were counting Western Pond Turtles in that project. ESRI's approach did not work for me so I wrote my own in Python.

First up for linear referencing is that the features need to be in a route feature class. A route feature class has M values that are the lengths of segments. USGS National Hydro Data is already be set up for linear referencing. USGS NHD - Linear Referencing

In NHD data, the M values are a percentage 0-100% of the total length of a given reach.

Not working on this one anymore tonight.