Concept Modules and Demonstration Videos
Concept Modules
Data Management
By: Ann Johnson
This Concept Module reviews important topics related to data management for geospatial technology. It includes review of data types, design and modeling of data management systems and compares simple project needs to those of enterprise-wide data management.
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DatumBy: Ann Johnson
This Concept Module reviews what a datum is, differences between vertical and horizontal datums, how the datums have been created over time and plans to combine vertical and horizontal datums in the future. It includes the importance of a Datum for accurately locating features and the problems that can occur if all data sets in an analysis are not using the same datum
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Map ProjectionsBy: Ann Johnson
This Concept Module reviews the need to create a flat map for features on a spherical Earth. Topics include why distortions occur in the process of going from a sphere to a flat map, different types of map projections and what distortions occur and provides a rule of thumb for picking a projection based on a project’s specific needs.
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Metadata
By: Ann Johnson
This Concept Modules reviews why metadata, the data about geospatial data, is so important for use of data from different sources. Topics include different metadata standards (US and International) and what specific data attributes should be or must be included.
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Programming in Geospatial
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Programming in Geospatial
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Statistics - Basic Topics, Part I |
Statistics - More Topics, Part II |
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By: Ann Johnson
This Concept Module reviews the use of basic statistics for geospatial technology. Topics include descriptive and summary statistics, terms used for different statistical values (mean, median, and mode), standard deviation, variance, correlation coefficient and normal distribution.
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By: Ann Johnson
This Concept Module is Part 2 of the Statistics module and reviews the use of advanced statistics for geospatial technology. Topics include Inference and Probability, Null hypothesis, Weighted Average, Inverse Distance Weighting, Spatial Autocorrelation, Significance, p- and z-values, Root Mean Square Error, Kriging and R Software.
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Demonstration Videos
These short demonstration videos are designed to show students and educators how to perform a particular task in a step-by-step manner. The topics covered by the demonstration videos include managing geospatial data in ArcGIS Pro, collecting field data using real-time kinematic GPS, and implementing high accuracy workflows in drone data processing. To suggest topics for future demonstration videos, please contact the GeoTech Center team.
