GIS/MEA582: Geospatial Modeling and Analysis

2. Geospatial Data Models and Visualization

Outline:

raster data resampling
raster and vector data conversions
display of continuous and discrete data,
use of color and shading to extract spatial patterns and relationships
3D visualization: single and multiple surfaces
dynamic visualization
tangible geospatial modeling
data repositories

Lecture

Lecture slides: Geospatial data models conversions
Lecture slides: Geospatial data visualization

Supplemental materials:

Links to additional material on resampling
Colors:
Tangible Landscape (NCSU GeoForAll Lab project, see slides) and a book Petrasova, A. et al. 2018. Tangible Modeling with Open Source GIS. Second edition. Springer International Publishing.
Cesium, an open source JavaScript library for 3D globes and maps
Dynamic and wrap-around visualizations
On-line geospatial data viewers and repositories
- Import NOAA US coastline data into GRASS GIS
- Import NLCD Land cover data into GRASS GIS
Original lecture Data Models: Slides and videos: Raster Model, Vector Model, Raster-Vector Conversions.
Original lecture Geovisualization: Slides and videos: Raster and Vector data display, Color, 3D visualization, 3D animation.

Assignment

Data models, raster resampling, raster-vector conversions: GRASS solution, ArcGIS Pro solution
Data display and visualization: GRASS solution, ArcGIS Pro solution
Comments/answers to HW questions

Homework 2

Following the results of the two sections of Assignment 2, write a paper that describes geospatial data models conversions (e.g., changing raster resolution, raster to vector and vector to raster) methods and results. Also explain methods and results for graphical representation of continuous and discrete geospatial data. Demonstrate the use of 3D perspective views for highlighting topographic features and relationships between elevation surface and land use / land cover. Make sure to answer all questions in the assignments and include all images saved with d.out.file in the GRASS GIS part, use your judgement to decide which images to include from ArcGIS Pro outputs. Optionally, include 3D views of multiple surfaces for visual analysis of the difference between the bare ground surface and multiple return surface with vegetation.