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Concept Modules and Demonstration Videos​

Concept Modules 

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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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Datum

By: ​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 Projections

By: ​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 Technology, Part I

By: ​Vincent A. DiNoto, Jr.
This Concept Module reviews the use of scripting/programming language in conjunction with geospatial technologies.
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Programming in Geospatial Technology, Part II

By: ​Vincent A. DiNoto, Jr.
This Concept Module reviews the use of looping and decision making functions in a scripting/programming language in conjunction with geospatial technologies.
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Statistics - Basic Topics, Part I

By: ​Ann Johnson

Statistics - More Topics, Part II

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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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. 
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Episode 1 ​​
Why Ground Control Points?

By: ​Wing Cheung
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Episode 2
Equipment Setup and Data Collection

By: ​Wing Cheung
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Episode 3
Incorporating GCPs in your Workflow

By: ​Wing Cheung
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Basic Database Management with Python   

By: ​Wing Cheung
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Building Relationship Classes   

By: ​Wing Cheung
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Designing and Populating a Geodatabase   

By: ​Wing Cheung
Learn More

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Geodatabase Management ​and
​ Optimization Strategies   

By: ​Wing Cheung
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Working with CAD Data in ArcGIS Pro
​

By: ​Wing Cheung
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Working with Feature Class Attachments 
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By: ​Wing Cheung
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Opinions expressed are those of the authors and not necessarily those of the National Science Foundation. 
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