Error Theory & Measurement Adjustment Fundamentals with MATLAB: Mastering Spatial Data Analysis for Surveying & Mapping

Error theory and measurement adjustment fundamentals are very important courses, involving the intersection of multiple fields, dimensions, and disciplines. The goal of this course is to cultivate spatial data calculation and analysis skills using computer programming techniques for surveying and mapping students, as well as practical abilities to analyze and solve problems encountered in actual measurements using surveying and mapping theories. With the widespread application of computer languages, more and more data processing software has been developed and applied in engineering practice. Among them, MATLAB software has powerful data calculation capabilities, concise program design style, rich application toolboxes, and open program interfaces, making it easy to solve complex data calculation problems. This course design is based on known data from a leveling network, using MATLAB software for conditional adjustment calculation of the leveling network. Experimental results have shown that using MATLAB to process surveying and mapping information data has significant advantages. The use of this software is practical and feasible, and can to some extent reduce the computational workload of surveying and mapping personnel. In this course, students will learn the basic concepts and principles of error theory and measurement adjustment, including the sources and classifications of measurement errors, error propagation and transmission, and the basic principles and methods of measurement adjustment. Then, students will learn how to use MATLAB software for specific calculations and analysis, including data input and processing, and programming implementation of adjustment calculations. Through this course, students will be able to master the basic knowledge and skills of error theory and measurement adjustment, and be able to flexibly use MATLAB software to solve problems encountered in practical measurements. This will provide strong support for their future surveying and mapping work, and improve their work efficiency and accuracy.