Introduction to network quality assessment

This module introduces you to the concepts and methods required to assess the quality of a spatial or geospatial network. It includes perspectives on and approaches for quality assessment using measures of precision and measures of reliability, and covers the following: A brief treatment of the trade offs in network design between precision, reliability, and…

Lab: Geometric reductions and a network adjustment

In this lab, you will build on what you did in the previous lab in order to do an adjustment of the small trilateration network you designed there. You will need to reduce the observations to the mapping plane, in turn requiring you to code the related functions. Like other labs in the series, this…

The three key math models for geospatial applications

This module introduces the three key math models for geospatial applications. These are: The functional model The measurement model The stochastic model Examples are provided to bring these to life and to illustrate their applications. And a framework is presented that helps you level up your understanding of how engineers carry out measurement, estimation, analysis,…

Some review topics

Welcome! This is a set of review topics for anyone wanting a refresher as they embark on the Spatial Networks course. It includes self-paced video-based lessons on functional modeling, linearization, and an introduction to least squares and error propagation. These are optional because you should already be familiar with this material, so they are being…