New Learn Lessons
A Learn Lesson is a step-by-step tutorial that uses a real-world scenario to introduce key ArcGIS tools and workflows. Here's a roundup of new lessons in the Learn ArcGIS Gallery that have appeared in the last month.
In this lesson, you'll import ground control points, add image links, and adjust the imagery. After adjustment, you'll assess and improve the accuracy of the ground control points.
Typical GIS workflows employ many datasets, including both tabular and spatial data formats. Developing a good understanding of the available tabular and spatial datasets is important for planning projects and managing your data.
The process of identifying available datasets and determining their properties can be automated using Python code. This can be accomplished using the functions of ArcPy to list and describe datasets. These functions will be illustrated using tabular data formats, shapefiles, and geodatabase feature classes.
This lesson shows you how you can use the Esri data loading tool solution to migrate data into the utility network data model. You will use a sample water dataset and go through the process of migrating data from this water dataset into the utility network. Once you have completed this lesson, you will be familiar enough with the techniques that you can get started on migrating your own data.
You have a feature layer that maps the 47 prefectures of Japan. Later, you'll join tabular demographic data to this layer, filter it, symbolize it, and conduct a series of statistical analyses. Before you begin this project, you'll ensure the spatial data is clean and orderly.
The Japan Prefectures layer has an issue common to many GIS layers: it has too many fields. Most of them are not useful to your specific project. Scrolling through a long list to find the same field over and over again will cost you valuable time and possibly lead to errors. In this lesson, you'll learn how to hide, relabel, and highlight fields to make the layer clean, tidy, and easy to use.
