Today we will discuss the final project in depth. We will also explore the potential for GIS to incorporate non-digital spatial data, in the lab exercise we will use GIS to reconstruct the pre-settlement landscape of Manhattan.
Exercise: Data
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Today we will discuss the final project in depth. We will also explore the potential for GIS to incorporate non-digital spatial data, in the lab exercise we will use GIS to reconstruct the pre-settlement landscape of Manhattan. Exercise: Data This week we will discuss ways to quantitatively and visually summarize geographic patterns. We introduce the the concept of a “neighborhood” (spatial weights matrix), spatial autocorrelation, and local statistics. We briefly explore the use of Geoda and the spatial statistics toolbox in ArcGIS. Lecture: Spatial Relationships This week we will discuss map algebra and vector overlay operations. This week we will discuss the concept of scale. Scale is an core geographic concept and can have an important impact on how we understand social and environmental problems through a GIS. This week we will critique your homework, discuss your final projects, review the basic principles of cartography, and we’ll have a map design competition. Its going to be a busy evening! This week we’ll learn about map projections and coordinate systems, we’ll review the material from last week, and we will visit the library to get an overview of sources of geographic data. We’ll spend some time discussing the Monmonier article. We’ll continue the previous lecture with a discussion about data modeling. There will be an exercise in class on ways to query spatial and non-spatial data (using SQL). The goal of the first week to get you acquainted with the class – we’ll discuss the logistics of the course. There will be a lecture that provides a conceptual overview of the field and introduces the material we’ll cover. |
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Copyright © 2010 Seth Spielman - All Rights Reserved |
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