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Environmental Spatial Data Analysis

Environmental Spatial Data Analysis. CE/ENVE 424/524. Stefan Falke stefan@wustl.edu Urbauer 319D 935-6099. Spatially Aware Professional. Aims & Objectives. Develop an understanding of the unique characteristics of environmental data Acquire skills in spatial analysis techniques

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Environmental Spatial Data Analysis

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  1. Environmental Spatial Data Analysis CE/ENVE 424/524 Stefan Falke stefan@wustl.edu Urbauer 319D 935-6099

  2. Spatially Aware Professional Aims & Objectives • Develop an understanding of the unique characteristics of environmental data • Acquire skills in spatial analysis techniques • Gain background and hands-on experience with software tools for working with data and conducting spatial data analysis. • Examine the art of visualizing spatial data and data analysis results • Appreciate the complexities involved in data manipulation, analysis, and mapping My aim and objective is for each of you to become a SAP!

  3. Course Outline Spatial Analysis Concepts Spatio-temporal Patterns and Trends Environmental Data Types GIS Principles of GIS GIS Technology GIS Functionality Spatial Analysis Techniques Point Data Analysis Continuous Data Analysis Spatial Interpolation Visualization Implementation and Management Data Acquisition and Spatial Databases Metadata and Interoperability Data Analysis and Decision-making

  4. Texts Longley, Paul; Michael Goodchild; David Maguire and David Rhind, Geographic Information Systems and Science, John Wiley & Sons, 2001 O'Sullivan, David and David J. Unwin, Geographic Information Analysis, John Wiley & Sons, 2002 • Both are on reserve at Olin library and the Earth & Planetary Science Library • along with: • Burrough, Peter and Rachel McDonnell, Principles of Geographical Information Systems,Oxford University Press, 1998

  5. Computer Lab Sessions Labs will be held in Lopata 401 Tuesdays, approximately every other week First Lab is Tuesday February 8, 4:00-5:30. ESRI ArcGIS 9.0 Software Suite ArcView/ArcEditor/ArcInfo Spatial Analyst Geostatistical Analyst 3D Analyst Survey Analyst Washington University has acquired a ArcGIS site license – if ArcGIS isn’t installed in your favorite lab, let me know

  6. Journal Article Review For this paper assignment you will select and review a journal article that describes a spatial analysis method from a topic area covered in class. The paper should be a 2-3 page summary for ENVE 424 and approximately 4-5 page critical review for ENVE 524. Please notify me of your article selection by Tuesday, March 29. Paper reviews are due Thursday, April 7. Example Journals: International Journal of Geographical Information Science Environmetrics Computers and Geosciences Photogrammetric Engineering and Remote Sensing Journals in your field

  7. Final Project • The project involves data analysis for a problem of interest to you. You will analyze your data using several of the techniques discussed in lectures and the GIS tools introduced in lab. A project consists of three components: • Proposal describing the problem and the data and methods to be used (up to two pages) Due March 24 • Paper describing the project data, methods, tools, and results. (up to 12 pages) • Presentation summarizing the project. (up to 10 minutes) • Paper and Presentation are both due on the date and time assigned for our final exam period. • Two (of many) options for projects: • Compare different methods • Analyze your own data

  8. Grading Problem Sets 25% Mid-term exam 25% Journal article review 10% Final project 30% Class participation 10% Late Policy: Problem sets have due dates (usually) on Tuesdays. You are allowed to submit two problem sets during the following class period without penalty. Otherwise, the penalty is 5% per day. The Article review and project related materials may not be submitted late.

  9. Summary • 19 Lectures • 8 Labs • 4 Problem Sets • 1 Exam • 1 Article Review • 1 Project

  10. Information Request Please send an email to stefan@wustl.edu with the following: Name: Email: Department: Level: Interest in course: Previous experience with spatial data analysis and/or GIS:

  11. Class Webpage http://capita.wustl.edu/ENVE424/ • Webpage will contain: • Class syllabus • Lecture slides • Online links to resource materials

  12. Pop vs Soda vs Coke http://www.popvssoda.com/

  13. Pop vs Soda vs Coke by County

  14. 2000 Presidential Election Results Bush States: 30 votes: 50,456,169 votes: 50,996,116 States: 21 Gore

  15. 2000 Presidential Election Results by County Bush Gore

  16. 2004 Presidential Election Results 2000

  17. States size are adjusted to be proportional to number of electoral votes http://www-personal.umich.edu/~mejn/election/ States size are adjusted to be proportional to population

  18. 2004 Presidential Results by County

  19. County size is proportional to population

  20. What is Spatial Data Analysis? • Spatial analysis is the quantitative and qualitative study of phenomena that are located in space. • Environmental spatial data analysis describes characteristics and behavior of the environment • Explores patterns, trends, and relationships in environmental data • Seeks to explain these patterns, trends, and relationships Differs from general data analysis in that it: • Spatial data are dependent on location and related by location (they do not adhere to the independence assumption made in regular data analysis) • Have properties that require special analysis methods

  21. What is GIS? • Traditional definition is that GIS is a set of computer tools for accessing, processing, visualizing, analyzing, interpreting, and presenting spatial data. • ‘GIS’ is Geographical Information System OR IS IT • Geographical Information Science? • GISystems: Emphasis on technology and tools • GIScience: Fundamental issues raised by the use of GIS, such as • Spatial analysis • Map projections • Accuracy • Scientific visualization • Implementation and application of GIS covers a wide spectrum: • Simple maps • Overlaying multiple map “layers” • Conducting proximity or cluster analysis based on distance • Comparing data sets (simple spatial statistics) • Complex statistical analysis

  22. What’s the Difference? • The distinction between spatial data analysis and GIS becomes fuzzier every year • The distinction depends on your perspective: • Traditional GIS perspective: • Here are some tools, use them. • Import data into a GIS and what you see iswhat you get. • Traditional spatial analysis perspective: • Start with spatial analysis and use GIS as a tool. • Use GIS to help figure out what the data means In many fields, the two perspectives appear to be merging as one Spatial analysis is GIS GIS is spatial analysis

  23. Monitoring Sites Geospatial Information Science and Technology “…acquires, manages, interprets, integrates, displays, analyzes, or otherwise uses data focusing on the geographic, temporal and spatial context.” (GeoSpatial Workforce Development Center at the University of Southern Mississippi) • According to a recent Department of Labor report, the three most important emerging and evolving fields are: • Biotechnology • Nanotechnology • Geospatial technology • (Gewin, V., Mapping Opportunities, Nature, 427 (6972) 376-377, Jan. 2004) gis.com

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