M J 23: Geospatial Analysis text: Intro + Conceptual Frameworks

Technology shapes how we do things…stairs vs slides in buildings.

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First: any additional introductions?
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Geospatial Analysis – A Comprehensive Guide

Notes and examples on “Introduction & Terminology” and “Conceptual Frameworks for Spatial Analysis.”

Jargon!

Introduction & Terminology

1. On applications

2. GIS, Spatial Analysis, and Software

3. Terminology & Definitions

Conceptual Frameworks for Spatial Analysis

The Geospatial Perspective: “a distinct perspective on the world, a unique lens through which to examine events, patterns, and processes that operate on or near the surface of our planet.”

The domain of geospatial analysis is the surface of the Earth, extending upwards in the analysis of topography and the atmosphere, and downwards in the analysis of groundwater and geology. In scale it extends from the most local, when archaeologists record the locations of pieces of pottery to the nearest centimetre or property boundaries are surveyed to the nearest millimetre, to the global, in the analysis of sea surface temperatures or global warming. In time it extends backwards from the present into the analysis of historical population migrations, the discovery of patterns in archaeological sites, or the detailed mapping of the movement of continents, and into the future in attempts to predict the tracks of hurricanes, the melting of the Greenland ice-cap, or the likely growth of urban areas.

Geospatial Analysis: what happens where, and makes use of geographic information that links features and phenomena on the Earth’s surface to their locations.

1. Basic “Primitives”

  • place: complicated concept: Wikipedia
  • attributes: “any recorded characteristic or property of a place” + measurement levels (qualitative, quantitative) + examples in ArcGIS
  • objects: raster (images) & vector (points, lines, areas) below (from Making Maps):

rastervector

justscale generalization

2. Spatial Relationships

contours

  • spatial interpolation: filling in between known data

polation

  • smoothing and sharpening (generalization; see above)

3. Spatial Statistics

4. Spatial Data Infrastructure

metadata1

  • Interoperability: standards for spatial data (so everything works together): OGC

…All this jargon…

headache

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Next: Discuss and brainstorm ideas for course projects + working groups.

Assign: Mitchell ch. 1 (PDF) & refining ideas for the course project (including working groups, division of labor, etc.)

Mitchell Ch. 1 is useful as an overview of the GIS Analysis process. Akin to the research process in general. I will review this chapter for our next meeting.

Consider (and include in your blog posting for the reading):

  • How the course project you have an interest in can be approached and organized using the GIS Analysis / research process: a way of structuring your work on the project
  • How a project proposal (check schedule for due date) can be developed, including a plan and schedule for implementation, for your project. Work on this proposal will happen simultaneously with discussion of the readings and work on the software tutorial.
  • Identify and questions or issues you have, terminology, concepts, examples, etc.

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One Response to M J 23: Geospatial Analysis text: Intro + Conceptual Frameworks

  1. [...] 2. Krygier covers W J 20: Geospatial Analysis text: Intro + Conceptual Frameworks [...]

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