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Spatial Data Analysis


Course Description

Methods, instrumentation, and computations related to line-of-sight spatial data collection and analysis. Topics include leveling, distance measurements, direction determination, and topographical surveying. Additional emphasis on large scale, web-based data collection and analysis using Geographic Information Systems.


Athena Title

Spatial Data Analysis


Prerequisite

MATH 2500 and (ENGR 1120 or ENGR 1120H)


Semester Course Offered

Offered every year.


Grading System

A - F (Traditional)


Course Objectives

By the end of this course, the student will have 1. Acquired a thorough understanding of the terminology and fundamentals of surveying and engineering measurements. 2. Acquired dexterity in the use of surveying equipment and of the computation and plotting equipment. 3. Developed the ability to analyze engineering measurement problems and to successfully solve these problems. 4. Developed good fieldwork habits. 5. Developed working knowledge of GIS and related software. 6. Developed skills necessary to communicate technical information in a written format.


Topical Outline

Scope of course, introduction and fundamental concepts: equipment orientation, terminology; theory of measurements and error; surveying field notes; distance measurement: stadia, EDMI, lab; leveling: theory, methods, equipment, field procedures and computations; lab; angles, bearings & azimuths; traversing: angle misclosure, traverse computations, error in closure; calculation of area: triangles, DMD's, coordinates; labs; topographic surveying; labs; global positioning and Geographic Information Systems; labs; control surveys; construction surveys; horizontal curves; vertical curves; volumes.