Week 3: Spatial Data Models

Objectives

•Provide a definition of a ‘spatial data model’•Explain how spatial entities are used to create a data  model•Distinguish between rasters and vectors•Describe a spatial data structure•Explain what topology is•List the advantages and disadvantages of different  types of spatial models

Week 4: Relational Database Management

Objectives

•Differentiate between relational database management systems (RDBMS),  databases, and data files.

•Explain why we select the database approach for GIS

•Define what a relational database is

•Describe how databases are created

•Describe GIS database applications

Week 5: Data Input, Throughput, and Quality

Objectives

• Review the concept, practice, and challenges of geocoding

•Discuss georeferencing and digitization in detail

•Distinguish between errors of accuracy and precision and their consequences in spatial analysis

Week 6: Vector Analysis

Objectives

•Describe Measurements in GIS

•Perform data queries in ArcGIS Pro

•Explain techniques used in reclassification of data

•Describe Buffering Functions and map overlays

Week 7: A Brief Introduction to R & Python

Objectives

•List applications/uses of a coding languages

•Know many of the popular input file types

•Understand/Replicate functions, syntax, style

•Know the names of essential packages/libraries

•List commonly automated tasks

•Be able to download & Install the softwares

Week 8: 3D GIS

Objectives

• Understand dimensionality
• List the differences between 2D vs 2.5D vs 3D
• Know the data types, Views, & Scene Types for 3D GIS
• Understand Surfaces & How to create/find them
• Familiarize yourself with the Exploratory & Analyst tools
• List the unique properties of 3D GIS vs Traditional 2D maps
• Comprehend the issues of 3D GIS

Week 9: Raster Data & Remote Sensing

Objectives

• Describe what the raster model is.
• Explain why rasters are used.
• Incept situations which rasters would NOT be applicable.
• List a few types of remote sensing.
• Know if the types of remote sensing are Passive or Active.
• List & understand the implications of the four R’s.
• Explain the issues with Remote sensing & why they exist.

Note about R-studio Assignment (Week7)

For this week, the assignment and instructions are combined into the one rmd file.  You will need to download R and R-studio, and then you will be able to open the .rmd. You will need to know where you saved the frogs.txt file, navigate to its location in the files section of R-studio, and set the folder as the working directory.For the submission you can either edit the rmd, change the name and submit it, or you can create a new script, copy and paste the questions and answers into it and submit that, or you can copy and paste the code and output of the code into a word doc.