1. Processing and Visualizing Large Spatial Datasets
Geographic Inquiry Process
Types of Spatial Analysis
Large Spatial Datasets
Cartographic Visualization
Ethics of Map Visualization

2. Geographic Inquiry Process
Define the problem or scenario
Identify the deliverables needed to support the decision
Identify, collect, organize, and examine the data needed
Document your work
Prepare your data
Create a basemap or locational map
Perform the geospatial analysis
Produce the deliverables, draw conclusions and present the results

3. Analysis and results concerning a specific demographics
What decision needs to be made? Who is making it and what do people need to know?
Analysis and results concerning a specific demographics
Solving census issues and reports, including housing market values
Define the problem or scenario
Excel spreadsheets provided via USCB or Census.gov
Including statistical data in numbers and percentages of same-sex households
Identify the deliverables needed to support the decision
Esri press data
United States.gdb
Representation of US states and borders along with restricted state-by-state data
USA Contiguous Albers Equal Area Conic
.mxd document
Identify, collect, organize, and examine the data needed to address the problem
Documentation of all methodologies used to present two data frames
Steps used to transfer new data and symbology was recorded
Document your work
Sum of total percentages and output to layer
Statistical data found and prepared via Excel for easy export
Join and relate functionality
Sheet tables
Prepare your data
Two data frames used
One with sub regions dissolved with an outline and urban areas
The other having only a US State borders layer both with joined statistical data
Both layers displaying US states and borders
Create a basemap or locational map
Analysis to find the high and low areas of distribution for the provided data
Consideration of why certain areas/data produced higher or lower statistical values and percentages than others
Perform the geospatial analysis
Discovery of correlations corresponding from coast to coast
No strong patterns of demographics
Evenly dispersed
Results yield that urban areas and states with larger Populations correlated with data of higher numbers of same-sex households
Produce the deliverables, draw conclusions, and present the results

4. Types of Spatial Analysis
Understanding where

5. Types of Spatial Analysis
Measuring size, shape and distribution

6. Types of Spatial Analysis
Determining how places are related (crime and property value)

7. Types of Spatial Analysis
Finding the best locations and paths

8. Types of Spatial Analysis
Making predictions

9. Large Spatial Datasets (HU GIS Examples)
Remote Sensing
Landsat (Harrisburg Thermal Infrared)
LiDAR (Harrisburg PAMAP program)
Drones (Stoufer Farm & Adams Ricci)
Tabular Data
Census (1900 Digital Harrisburg)
Crime ( Harrisburg)
Students (HU Graduate Students)
Spatial Data Software:
ArcGIS
Quick Terrain Modeler
Pix4D
ArcGIS Online

10. Cartographic Data Visualization
Thematic Map Types
Map Data Types
Visual Resources
Choropleth Proximal Isarithmic
Nominal Ordinal Ratio
Special Effects - Cartograms

11. Cartographic Considerations: Map Audience
Map Use: Exploration/Analysis Presentation
Audience: Trained Analyst General Public
Purpose: Visual Thinking Communication
Advantages: Graphical Believable
Granularity: Fine Coarse
Symbols: Abstract Mimetic
capitol
railroad

12. Map Data Classification
Double Ended Scales
Extremes & Balanced
Double Ended
Manual
Quantile

13. Ethical Considerations in Cartography
Have a straightforward agenda
Strive to know your audience
Do not intentionally lie with data
Always show all relevant data when possible
Don’t discard contrary data because it is contrary
Strive for accurate portrayal of data
Avoid plagiarizing
Symbol selection should not bias map
Map should be repeatable
Pay attention to different cultural values and principals
Misleading Maps without disclaimers
Source: Cartography Thematic Map Design, sixth edition by Dent, Torguson, and Hodler.