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Upon completion of this course, the student will be able to:
1. Identify appropriate sources of geospatial and attribute data for GIS.
2. Collect data in the field using GPS technology.
3. Capture attribute data from public and proprietary sources.
4. Hand digitize data from aerial and remote sensing imagery or maps.
5. Integrate Computer Aided Drafting (CAD), Raster, Triangular Irregular Network (TIN), Vector and point data in a GIS project.
6. Validate and prioritize GIS data and data layers based on accuracy, precision and other factors.
7. Prepare written, formatted and diagrammatic summaries of various data sources.
8. Describe data in narrative fashion for scientific reports and transmission to clients.
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I. Data science and the theory of data
II. Data as discrete numbers vs. data as information
A. Classifications of data
B. Spatial vs. non-spatial data
III. Global positioning systems (GPS)
A. Basic concepts and mechanics
B. Signals and signal interpretation
C. Field collection
D. Office processing
IV. Coordinate systems and datums
A. Coordinate system selection - geographic or projected
B. Coordinate system transformations
C. Realizations vs. epochs
V. Data types, formats and field collection methods
A. Field diagrams and field notebooks
B. Electronic data loggers
C. Mobile mapping and data dictionaries
VI. Acquisition of existing geospatial and attribute data sets from related GIS sources
A. Data from collaborating professionals
B. Third party data vendors
C. Online data websites: public, private and governmental
VII. Acquisition of existing geospatial and attribute data from remote sensing
A. Signal characteristics
B. Signal interpretation
C. Image characteristics
D. Image interpretation
VIII. Raw Data vs. Processed Data
A. Validation: QC/QA, analysis, summarization
B. Management: conversion, management & storage
IX. Metadata and data documentation
A. Importance
B. Style Sheets
X. Integration, summarization and delivery of GIS data and GIS deliverables
XI. Topics III thru X mentioned above will also be studied by means of field laboratory exercises and laboratory reports during the laboratory portion of the course
| Writing: Assessment tools that demonstrate writing skill and/or require students to select, organize and explain ideas in writing. | Writing
0 - 0% |
| None | |
| This is a degree applicable course but assessment tools based on writing are not included because problem solving assessments are more appropriate for this course. |
|
| Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or non-computational problem solving skills. | Problem Solving
40 - 50% |
| Lab reports, online tutorial exercises | |
| Skill Demonstrations: All skill-based and physical demonstrations used for assessment purposes including skill performance exams. | Skill Demonstrations
30 - 40% |
| Operate GPS receivers, proper acquisition of data | |
| Exams: All forms of formal testing, other than skill performance exams. | Exams
20 - 30% |
| Quizzes, mid-term exam and final exam, including: multiple choice, completion, true-false, short answer, short essay, and/or oral presentation | |
| Other: Includes any assessment tools that do not logically fit into the above categories. | Other Category
0 - 10% |
| Class Participation | |
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Integrating GIS and the Global Positioning System, Karen Steede-Terry, 1st Edition, ESRI Press, 2000 (classic)
Integrated Geospatial Technologies: A Guide to GPS, GIS, and Data Logging, Jeff Thurston et al., 1st Edition Wiley Publications, 2003 (classic)
The Visual Display of Quantitative Information, Tufte, Edward R. Graphics Press, 2nd edition, 2001 (classic)
Envisioning Information, Tufte, Edward R. Graphics Press, 1990 (classic)