GGR 272 F  Geographic Information and Mapping I


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INTRODUCTION

This page provides an annotated outline of the major points discussed for each topic in the course. These are not the complete lecture notes, and should not be viewed as a substitute for coming to class.  Dates are not included, as the lecture schedule may change during the term. Text readings are in parentheses (1st edition sections are in square brackets where they are different from the second edition), and some suggested websites are underlined. Note: the readings below are a guideline, and are not necessarily all you need to read to prepare for a test or exam.

 

 

INTRODUCTION TO GIS

Course Introduction

  • Overview of course content

  • What is a GIS? (1.1-1.2)

  • Introduction to ArcGIS

  • Why learn to use a GIS?

Digital Representation of Geographic Data

  • Map scale (2.2.1)

  • Discrete entities and continuous fields (3.1.2)

  • Vector data model (6.2.1)

  • Raster data model (3.4.1, 5.2.1)

  • Spatial resolution

  • Zones and regions

  • Attribute tables

MAP DESIGN

Map Design in a GIS

 

  • Map elements

  • Basic map design

  • Classes of maps (2.2.2) [2.3]

Quantitative Map Types

  • Choropleth map (6.7.1; Using ArcMap chapter 6)

  • Classifying data

  • total vs. derived values (normalization)

  • Dot map

  • Proportional symbol map

  • Graduated symbol map

  • Isarithmic map

  • Flow map

Coordinate Systems and Map Projections

  • Coordinate systems (2.3-2.5)[2.5-2.6]

  • 2D flat surface

  • 3D spherical surface

  • What map projections do (2.4) [2.7]

  • Properties (2.4.1) [2.7.1-2.7.2]

  • shape

  • area

  • distance

  • direction

  • Classification of map projections (2.4.2) [2.7.3]

  • cylindrical

  • conic

  • azimuthal

  • Coordinate systems and map projections: UTM (2.5.3) [2.8.3]

Georeferencing

  • Geographic coordinate system

  • Models of the earth (2.5) [2.8]

  • spheroids and ellipsoids

  • datum

  • Map projections and GIS software

  • Maps and Propaganda: the Peters projection

DATA INPUT

Vector Data Input: Creating and Editing Data

  • Adding X,Y events

  • Address geocoding (6.3.10) [6.4.3]

  • Event table

  • Reference data

  • Style

  • Vector data representation (3.5)

  • Simple vector data model (3.5.1)

  • Digitizing existing maps (6.3.1-6.3.3)

  • Scanning and vectorization (6.3.4-6.3.5)

Vector Data Models and Topology

  • Topologic vector data model

  • Graphical data editing and building topology (6.3.8)

  • Merging themes (6.3.8)

  • Topology in the geodatabase (also see Building a Geodatabase ch. 4 pp.99-109)

  • Adding and editing attribute data

WORKING WITH DATA

Working with Tables

  • Components of an attribute table

  • Adding fields, field types

  • Field calculations

  • Table statistics and summaries (6.4.2)

Database Management Systems

  • Concepts and terminology of relational DBMS (3.3.3)

  • Joining and relating tables

  • Spatial join

Querying Data by Attribute or Location

  • Attribute queries (6.4.1)

  • Interactive and graphic selection

  • Feature-based overlay analysis (select by location) (6.5.1)

OVERLAY ANALYSIS

Preparing Data for Analysis

  • Reclassification (vector 6.6.1)

  • Aggregation (vector 6.6.1)

  • Clipping themes (vector 6.6.2)

Distance Measures

  • Buffers (6.5.2)

Overlay Analysis

  • Vector overlay analysis (6.6.2)

  • Intersect

  • Union

Raster Analysis (5.4)

  • Local operators

  • Focal operators

  • Zonal operators

  • Global operators

Cartographic Modeling

  • ModelBuilder

DATA ACQUISITION AND DATA QUALITY

Attribute Data for Thematic Mapping

  • Hierarchical referencing (2.7.2)

  • Municipal Addresses

  • Census data

  • Postal codes

  • Measurement scales (2.7.4)

Remote Sensing as a Data Source (8.1-8.2)

 

  • Types of sensors

  • Radiation-target interaction

  • Spectral resolution

  • Spectral signature

  • Image classification

Data Quality and Metadata

  • Concepts and definitions of data quality (4.2)

  • Sources of error in geographic data

  • Components of data quality (4.3)

  • Metadata (p.133)