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Spatial Analysis University of Maryland, College Park 2013.

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Presentation on theme: "Spatial Analysis University of Maryland, College Park 2013."— Presentation transcript:

1 Spatial Analysis gis@umd.edu University of Maryland, College Park 2013

2 Workshop Outline 1.Presentation 2.Exercises 1.Creating shapefiles 2.Five Common ArcToolbox Tools 3.Spatial Analysis with raster data 3.Questions and concerns?

3 Vector Data Review pointattribute table line polygon

4 Raster Data Review cellsattribute table (or not) raster properties

5 Analysis in GIS With vector data, the GIS uses values from fields in the attribute table With raster data, the GIS uses values from individual cells, or performs calculations based on zones and/or regions. 1123 1421 3212 3114

6 More on Raster Data Two types of raster data: – Thematic A measured quantity or a classification Ex: 5=elevation in feet Ex: 5=water; 3=forest – Image Reflected or emitted light Ex: Pixel scale from 0 to 255 where 0 is black and 255 is white 553 553 533 050229 5012573 12386140

7 Raster Datasets Usually represent a single theme (elevation, land use, etc.) – so you need several to show an area Are made up of individual cells – cells either have a value or have no data

8 Raster Datasets - Cells Cells can be any size, but every cell in the dataset is the same size. The smaller the cell size, the greater the resolution. Cells are arranged in rows and columns, so each one has a specific address.

9 More on Cells Zones formed by two or more cells with the same value (connected or disconnected) Zone 1 consists of 7 cells Regions group of connected cells in a zone Zone 1 has 2 regions 1123 1421 3212 3114 1123 1421 3212 3114

10 Data Types (Layers) Raster/Grid DEM Digital Elevation Model Image (raster) where the pixel values represent the ground elevation above sea level DTM Digital Terrain Model Image (raster) a DTM is a DEM that has been altered by elements such as break lines and observations to correct for artifacts by using photogrammetrically derived line work introduced into a DEM surface. DSM Digital Surface Model Image (raster) where the pixel values represent the elevations above sea level of the ground and all features on it. For example if there are buildings in the area, the DSM will include those building in the elevation values

11 Projections and Coordinate Systems Geographic coordinate system (GCS) – Location on a sphere (latitude-longitude) – http://egsc.usgs.gov/isb//pubs/MapProjections/projections.h tml http://egsc.usgs.gov/isb//pubs/MapProjections/projections.h tml Datum (goes along with the GCS) – Horizontal datums are calculated using a mathematical calculation for the approximation of the shape of the earth, known as an ellipsoid. Most ellipsoids are calculated for a geographic region such as North America – GPS units use the WGS 1984 datum Projected coordinate system – Location on a flat map from a defined 0,0 origin – Has an underlying GCS

12 Projections ctd. A map projection distorts one or more of the following: – Distance – Shape – Area – Direction Reference website: http://egsc.usgs.gov/isb//pubs/MapProjections/projections.html http://egsc.usgs.gov/isb//pubs/MapProjections/projections.html Reference books: Flattening the earth: two thousand years of map projections / John P. Snyder An Album of Map Projections (USGS Professional Paper 1453) / John P. Snyder and Philip M. Voxland http://pubs.usgs.gov/pp/1453/report.pdf

13 GIS Analysis – A Process Define the problem/issue/question What data do you need? Is this data in a usable format? Projection? Appropriate fields? Quality of the data? Metadata? What tools should you use? How should results be displayed? Who is the audience/what is the purpose? Get Data Evaluate Data Perform analysis Evaluate Result Present Final Result Final Formatting Is the methodology sound? Is the question answered? Are there any new questions? What is your methodology? Where will you get it?

14 GIS is just a tool Quality of your data Quality of your modeling process Quality of your analysis Aesthetics

15 Learning more GIS and background GEOG 373 – Geographic Information Systems GEOG 473 – Geographic Information Systems and Spatial Analysis GEOG 306 – Introduction to Quantitative Methods for the Geographic Environmental Sciences Virtual Campus Courses – Learning ArcGIS Desktop – Understanding Map Projections and Coordinate Systems – Working with Rasters in ArcGIS Desktop

16 Class Assessment Please complete this! It’s quick and helps us improve the workshops. http://ter.ps/4ot


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