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Lecture

GG102 Introduction & Cultural Geography.docx


Department
Geography
Course Code
GG102
Professor
Sean Doherty

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Claudia Vanderholst
September 12, 2012
GG102 Lecture Notes
Introduction
What is where?
(Description)
Why there?
(Explanation)
Why care? (Impact)
Elements
Physical features
Human features
Patterns
Interactions
Process
Interrelationships
Agents
Importance to
environment/peo
ple
Change
Prediction
Tools
Maps
Narratives
Tables
Diagrams
Statistic analysis
Conceptual model
Mathematical
model
Forecasting
models
Simulations
In theory:
Cognitive images representing a person’s perceptions, feeling, memories, meanings,
and knowledge of a locations
Not just spatial knowledge!
Practical
What you see in our mind’s eye when you thing of a place/area
Basic elements on a mental map
Pathways
Landmarks physical reference point
Boundaries
Nodes
Labels
Districts
Stories
Feelings
A tool for representing a persons MM
But not the only one!
Tend to look like traditional maps and be
Simplified
Distorted
Incomplete
Analogous to giving someone directions

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Claudia Vanderholst
September 12, 2012
Weaknesses
Tends to focus on node, routes and landmarks
Poorly capture meanings and experiences, interconnections of information,
underlying creation process
Key Concepts
Space: Areal extent, usually Earth’s surface – absolute or relative
Location: a particular position within space
Place: a location that has a unique identity
Region: a large area encompassing many places
GPS (Global Positioning System)
Receivers from your phone calculate your location using 24 satellites
Triangulation
Applications: navigation, estimated timing, traffic conditions, fitness
GIS (Geographic Information System)
An automated systems for the capture, storage, retrieval, analysis, and display of
spatial data
Practical: A modern day map that allows you to analyze problems
Uses layers to represent data (ex. Land use, elevation, streets, customers, and
parcels)
Vectors: Kind of data that used points, lines, and polygons to represent things
streets, customer density (smaller data file)
Raster: Pixels that represent different things land use and elevation (bigger file
than vector)
Data collecting
Remote sensing: Getting data from far away (satellite imagery ex. Radar, infrared,
photographs)
GPS tracking: ex. Congestion systems in traffic
Digitizing: ex. Recreating maps and digitizing maps through a manual method
Field data: ex. Surveys
Data storage
The information is tied to locations
Labels, legends, tables, spreadsheet
Databases: ex. SQL server, Excel, SPSS, in GIS Software, MS Access, Oracle
Software examples
Public (Google Earth)
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