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Semester Finished! Whew!
Showing posts with label GIS4043. Show all posts
Showing posts with label GIS4043. Show all posts
Wednesday, April 27, 2011
Tuesday, April 12, 2011
Geodatabases and Modeling Tools
Exercise 1: Creating a Project Database
1. Opened ArcCatalog, and looked through the data included in the Organize folder from LearnArcGIS10.exe.
2. Right clicked the Organize folder in ArcCatalog, clicked New -> File Geodatabase.
3. Replaced the default name for the geodatabase with Flood.gdb.
4. Checked environment settings.
a. Output Coordinates: Same as Input
b. Processing Extent: Default
c. Geodatabase Advanced: Output XY Domain is Same as Input
5. In Catalog tree, right clicked Flood.gdb. Import -> Feature Class (multiple)
6. Navigated through folders and added: CountyBoundary.shp, MajorRoads.shp, SB_Floodzones.shp, and CityLimits and Schools feature classes.
7. Right clicked Flood.gdb. Import -> Feature Class (single).
8. Added CensusBlocks.shp, and entered Demographics for the Output Feature Class name.
9. In the Field Map tree, deleted MALES (long), FEMALES (long), and MED_AGE (double) fields. Clicked to add the Demographics feature class to Flood.gdb.
10. Right clicked Flood.gdb. New -> Feature Dataset.
11. Named the dataset Municipal.
12. Imported coordinate system from Parcels feature class. Import -> Organize\City.gdb -> Parcels -> Add. Accepted default value for XY Tolerance.
13. Right clicked the Municipal feature dataset. Import -> Feature Class (multiple).
14. Added Parcels, landuse, and polygon feature class.
15. Right clicked Flood.gdb. New -> Feature Class.
16. Named new feature class Emergency. Alias: Emergency Facilities.
17. Specified geometry type as point feature class.
18. Imported coordinate system from FireDepts.shp.
19. Created attribute fields in new Emergency feature class to match the attribute fields of the data.
20. Right clicked Emergency. Load -> Load Data.
21. Added FireDepts.shp, Hospitals.shp, and PoliceDepts.shp.
22. “Load all of the source data” is selected.
23. Right clicked Flood.gdb. Import -> Table (single.) Added SchoolBuildings table.
24. In Catalog tree, expanded City.gdb. Right clicked PlaceNames and copied. Right clicked Flood.gdb, and pasted file.
25. Right clicked Flood.gdb. Import -> Raster Datasets. Added raster_aerial.tif.
26. Created thumbnails. Took screenshot of thumbnails for lab.
27. Closed ArcCatalog.
STEP 11b:
Exercise 2: Assess Fire Damage
1. Opened Assessement.mxd from LearnArcGIS10\Model\Fireassessment folder.
2. Set default geodatabase to Fire.gdb.
3. Geoprocessing menu -> Search for Tools -> buffer
4. Clicked on Buffer (Analysis)
a. Input Features: Creeks
b. Output Feature Class: Fire.gdb
c. Name: Creeks_Buffer
d. Distance: 200
e. Distance units: Meters
5. Creeks_Buffer layer appears.
6. Search for Tools -> clip
7. Parameters:
a. Input Features: Creeks_Buffer
b. Clip Features: FirePerimeter
c. Output Feature Class: Fire.gdb\Creeks_Buffer_Clip
8. Opened attribute table. Right clicked the Shape_Area field -> Statistics. Examined Sum under Statistics for the total area of burned riparian areas.
9. Geoprocessing Menu -> Intersect
10. Input features: FirePerimeter, and Vegetation. Named output FirePerimeter_Intersect.
11. FirePerimeter_Intersect layer is added to map.
12. Selection menu -> Select by Attributes.
13. In FirePerimeter_Intersect layer, BurnDay = 1 AND Type = Forest
14. Right click the SHAPE_Area field in FirePerimeter_Intersect attribute table. Statistics -> get SUM.
15. Repeat process for features burned on Day 2.
16. Layer Properties for FirePerimeter_Intersect -> Symbology tab -> Import
17. Choose Vegetation from drop-down box. Selected Type in the Value field.
18. Under Display tab in Layer Properties, entered 35 for transparency value.
19. Saved work, exited ArcMap.
STEP 9c:
Exercise 3: Build and Use a Simple Model
1. Opened Assessment2.mxd from Model\FireAssessment2 folder.
2. Displayed catalog window. Set the default geodatabase to Fire.gdb.
3. Scrolled down the tree and expanded Toolboxes. Right clicked My Toolboxes. New -> Toolbox. Name: FireTools.
4. Right clicked FireTools toolbox. New -> Model.
5. Model menu -> Model Properties.
6. Replaced text in Label field with Assessment. Added description to Description box.
7. Checked box next to “Store relative path names (instead of absolute paths)”.
8. Dragged Buffer tool into Model Builder window. Double clicked Buffer tool, and entered parameters
a. Input features: Creeks
b. Output feature class: Output1
c. Distance: Linear Unit =200 meters
9. Dragged Clip tool into Model Builder. Drew connecting arrow from Output1 element to Clip tool.
10. Double clicked the Clip tool. Entered parameters:
a. Input features: Output1
b. Clip features: FirePerimeter
c. Output feature class: Output1_Clip
11. Clicked AutoLayout button. Clicked the select tool and clicked in the white space in the Model Builder to deselect any elements.
12. Clicked the Run button. Dragged Output1 and Output1_Clip into map display area.
13. Saved and exited ArcMap.
STEP 9:
Exercise 4: Work with an Existing Model
1. Opened Timber.mxd from Model\LeasesCD folder.
2. Turned on LeaseC and LeaseD layers, and zoomed to extent of StandsCD layer.
3. Made Tongass.gdb the default geodatabase.
4. Expanded the LeaseTools toolbox in the catalog window. Right clicked TimberCD model and chose Edit.
5. Reset paths to output elements in model.
6. Zoomed in on the last process in the model. Right clicked the final element and choose Add to Display. Double clicked the Clip tool, and changed the output feature class name to FinalC.
7. Ran the model. FinalC layer was added to map.
8. Returned to the model. Edited the final process by double clicking on the Clip tool. Changed Clip Features to LeaseD, and changed name of output feature class to FinalD.
9. Deleted disconnected LeaseC element from model. Clicked AutoLayout button.
10. Ran only the last process in the model. FinalD layer was added to map.
11. Selection menu -> Select by Attributes. In FinalC layer, selected features with N_Distance AND S_Distance = 0.
12. Opened FinalC attribute table. Clicked Show Selected Records button. Right clicked the StandValue field name -> Field Calculator.
13. In Field Calculator, entered expression:
a. [ValuePerMeter]*[Shape_Area]/1000000
14. Right clicked the StandValue field -> Statistics.
15. Repeated process for FinalD.
16. Opened model builder window again. Model menu -> Delete Intermediate Data.
17. Saved model, closed window. Saved map, closed ArcMap.
STEP 13:
Tuesday, April 5, 2011
Geocoding Process Summary
EXERCISE 1
Opened ArcCatalog.
Examined attributes of RedStreets.shp and RedRestaurants table.
Right-clicked Redlands in table of contents.
Selected style “US Address – Dual Ranges” with the Redlands Streets layer as the reference and named locator.
Opened ArcMap and the Gourmetmap.mxd.
Right-clicked RedRestuarants in table of contents and picked ‘Geocode Addresses’.
Added Redlands Locator and named output: GeocodedRestuarants.shp.
EXERCISE 2
Opened ArcMap and added Redstreets.shp.
Selected ‘Find’ tool and selected “locations” tab.
Chose 10.0 US Streets Geocode Service (ArcGIS Online) (Not 9.3.1)
Entered
380 New York Street, Redlands CA 92373
Right-clicked the top result and added labeled point.
Selected Graphic & Text and selected text and changed to ESRI Café.
Repeated this process with the RedlandsLocator.
EXERCISE 3
Opened Customers.mxd in ArcMap
Opened attribute table for “Customers” and added address text field.
Right-clicked [Address] field and selected Field Calculator.
Used Field Calculator to concatenate address fields.
Opened ArcToolbox > Geocoding Tools > Standardize Addresses.
Saved file and closed ArcMap.
EXERCISE 4
Opened ArcCatalog.
Right clicked on Atlanta.gdb and selected New Address Locator.
Chose US Address – Dual Ranges for the style and Streets.shp for the reference.
Named new locator AtlantaLocator. Adjusted locator properties.
Opened ArcMap and added Streets.shp and Customers table.
Added the just created AtlantaLocator.
Set output to Atlanta.gdb and saved as AtlantaCustomers.shp. Geocoded addresses.
Reviewed results.
Opened Streets_Addresses attribute table and summarized the street name field.
Opened the summarized table and adjusted similar street names to eliminate unmatched addressed.
Saved document and closed ArcMap.
Raw Data
Process summary:
Opened blank map document in ArcMap.
Added Gulf_Pin shapefile.
Joined shapefile to raw tax roll data in provided .csv file.
Created new shapefile from original layer joined to .csv information.
Opened attributes table for this new layer, and used Calculate Geometry on the acres field.
Generated table with owner names, number of parcels, and total parcel acreage.
Exported this table to Excel to view top 4 landowners in the county.
Back in ArcMap, created an attribute query to select the parcels of the top 4 parcel owners.
Created new layer from this selection.
Under symbolization options, symbolized each landowner by unique values.
Added essential map elements, exported to JPG.
Monday, March 28, 2011
Vectors 2
1. Loaded roads data layer into new map document in ArcMap.
2. Displayed the ArcToolbox, and selected Buffer tool (Under Analysis -> Proximity)
3. Performed a buffer on roads layer, with a linear distance of 300 meters, dissolving all buffer borders.
4. Added water shapefile to map document.
5. Added new field (long integer) to water attribute table: buffdist
6. Used the field calculator to assign a value of 150 to lakes and 500 to rivers for buffdist field.
7. Opened ArcToolbox again, and selected Buffer tool. Input feature: Water, Field: buffdist, Dissolve type: List, Dissolve field: buffdist
8. Added attribute fields to water_buffer and road_buffer layers. (insd_wbuf and insd_rbuf)
9. In ArcToolbox, selected overlay toolset (Under Analysis tools)
10. Selected Union, with these parameters: Input layers: water_buffer, roads_buffer, Join Options: all.
11. Opened attribute table for buffers_union layer, and selected records with a value of 1 in both insd_wbuf and insd_rbuf fields. Exported these records to new shapefile (buffers_union_export).
12. Used Multipart of Singlepart tool in ArcToolbox (Data Management -> Features) to make it possible to select individual features.
13. Repeated steps 9-12 with a different overlay tool.
14. Added conservation_areas layer to map document.
15. Used an overlay tool to isolate the buffer areas outside of the conservation areas on the map, with output: possible_sites.
16. Added new field to possible_sites attribute table for area. Used calculate geometry function to calculate area of each site feature.
Saturday, March 12, 2011
Vector Analysis 1 process summary
1. Opened lab7.mxd (Not the VectorAnalysis_1.mxd listed in the lab file, because this was the only file available for this lab on R: drive.)
2. Using the Select by Location tool under the Selection menu, selected Pensacola land parcels within 2000 feet of a school, which are also within 1 mile of a hospital, not within 1 kilometer of a railroad, and are within 3000 feet of a cell tower. This required changing the selection methods from “select features from” to “select features from selected features” to “remove from currently selected features” (for railroads) and back to “select features from selected features”. The spatial selection method was “Target layer(s) features are within a distance of the Source layer feature.”
3. Still using the Select by Location tool, selected features within Enterprise Zones from the features previously selected. The spatial selection method was “Target layer(s) are within source layer features.”
4. Changed the target layer in Search by Location to Superact_risk_features, and changed the source to selected features within the Pensacola parcels layer. There are 100 features selected in ArcMap after this step, NOT ONE. It’s really frustrating to repeat queries four times because it isn’t clear there will be features selected on the Pensacola parcels layer AND on the risk features layer.
5. Using the Select by Location tool, selected all parcels intersecting the flood_Zones polygon layer. Then, using the Select by Attributes tool, selected only residential parcels within the flood zones. Using the attribute table, and right clicking on the Market_value column heading, and choosing statistics, found the total market value of these parcels.
6. Displayed layers under the Water group in the table of contents. Right clicked on superact_risk_features and clicked on Join under Join and Relates menu. Joined Drainage points layer to this layer, giving all the points the value of the attributes of the polygon they fall inside of. A new layer is created.
7. Opened the attribute table for the new layer. Right clicked on the heading Basin and selected Summarize. Clicked ok on this new window.
8. Output table was added to table to contents. Opened this table to see list of basins with associated number of risk points for contamination.
9. Repeated Join process for Superact_wells_esc and Superact_risk_features layers. Looked at the output table for answer to Q6.
Wednesday, March 9, 2011
Georeferencing
1. Opened blank map in ArcMap, and added buildings and roads shapefiles. Zoomed to full extent.
2. Added uwf_n.jpg. Displayed Georeferencing toolbar and clicked fit to display for this layer.
3. Added control points scattered over the map. Adjusted control points with RMS much higher than other control points. Ended with RMS of 2.19 for a 1st order polynomial transformation.
4. Added uwf_s1.jpg to map. Used fit to display again. Added control points, and finished with RMS of 0.32 for a 3rd order polynomial transformation.
5. Hid black edges of uwf_s1.jpg.
6. Created new (polygon) shapefile named Athletic_fields. Went ahead and created shapefiles for (polygon) New_buildings and (polyline) New_roads too, because I wanted these elements to appear differently on my map from the rest of the roads and buildings.
7. Displayed Editor toolbar to start editing.
8. Digitized yellow athletic fields with line tool.
9. Digitized green dot for the new campus building with circle tool.
10. Digitized the new road with white with freehand tool.
11. Clicked stop editing on Editor toolbar and Saved edits.
12. Switched to Layout view, added essential map elements and rearranged elements.
Tuesday, February 22, 2011
Data Selection
1. Downloaded the following:
qd24 – Quad index
cntbnd – County boundaries
cities_feb04 - Cities
publicland_sep10 – Public land
majrds_feb10 – Major roads
hy24p18 – Hydrologic pologons
hy24i18 – Hydrologic lines
gap_lcov18 – Land Cover
fnaiip_jun10 – Invasive plants
Flagler county
Quad #4411 (Bunnell)
2. Made sure in ArcCatalog all files were using Albers projection, and reprojected all files originally in another coordinate system.
3. Added cntbnd shapefile to map document in ArcMap.
4. Using Attribute table, selected Flagler county in cntbnd shapefile, and added layer from selection. Exported this layer to shapefile, and removed cntbnd.
5. One by one, added all other layers. After clipping them to just Flagler county, removed original layer.
6. Created three data frames.
7. Switched to layout view.
8. Arranged data frames, and added applicable layers to each frame.
9. Created legend, added title to map, added scale bar and text, added north arrow and prepared by/data source text.
10. Exported to JPG.
Tuesday, February 15, 2011
Other GIS data sources
Out of curiosity, I looked up GIS data for my home state of New Mexico. I found the New Mexico Resource Geographic Information System (RGIS) clearinghouse. It is a repository of digital geospatial data from local and national public agencies, and is publically available. The data can be downloaded for free, except for a handful of large data sets which can be ordered on CD.
Projections Part 2
Process Summary (Practice assignment):
1. Went to Labins.org. Clicked on DOQQ.
2. Downloaded “5359” files from 2004 RGB Albers Units:MT Mr. SID and saved to H: drive.
3. Opened ArcMap, and added 5359 aerial data.
4. Closed ArcMap without saving and opened ArcCatalog.
5. Selected properties of 5359 file in ArcCatalog and changed spacial reference to provided ALBERS_FL.prj file.
6. Repeated this process for all four 5359 files, and reopened in ArcMap to see the files now had a useable scale.
7. Closed ArcMap.
8. Downloaded DRG (digital raster graphic) for Pace quad (mrg5358.exe) from Labins. (State Plane NAD83 Collars Removed).
9. Edited undefined spacial reference for this file in ArcCatalog to NAD 1983 StatePlane Florida North FPS 0903 (US Feet).prj.
10. Opened blank ArcMap document and added this file to verify useable scale.
11. Downloaded different data sources from FGDL (Florida Geographic Data Library) Metadata Explorer. (All Albers projections!)
“cntbnd” – County boundary
“USGS 24k Quarter Quad Index) – Quad index
“Major Roads”
12. Created excel file with 3 given locations of eagle’s nests in Santa Rosa County, FL.
13. Converted given latitude and longitude in degrees-minutes-seconds to decimal degrees using these formulas:
xcoor = degrees + (minutes/60) + (seconds/3600)
ycoor = (degrees + (minutes/60) + (seconds/3600))*(-1)
Y coordinates are negative because we are dealing with longitude west of the Prime Meridian.
14. Saved excel sheet and imported into ArcMap.
15. Right clicked on file in table of contents and clicked on “Display XY Data”.
16. Selected longitude as the x field, and latitude for y field.
17. Edited Geographic Coordinate system to “WGS 1984”.
18. Points are imported as an Event; exported data to make it a shapefile.
Process summary (Graded assignment):
1. Using the footprint layer (qd24.shp), picked two adjacent quads (5560 and 5660) in Escambria County, Florida. Downloaded these quads as 2004 RGB StatePlane FT Mr. SID aerials from Labins.org.
2. Defined aerials in ArcCatalog as: NAD 1983 StatePlane Florida North FIPS 0903 *US Feet).prj.
3. Reprojected Quad Index, County Boundary, and major roads shapefiles downloaded before to same State Plane.
4. Edited Escambria_tanks.xls file as with the practice exercise to have decimal degree values for x and y coordinates.
5. Imported this excel file into ArcMap like the practice excel file, and exported the event to make it a shapefile.
6. Reprojected shapefile in ArcCatalog to match State Plane projection, and used NAD1983 to WGS1984 option 5 geographic transformation.
7. Created map including this Tanks shapefile and DOQQ aerial images. Added essential map elements and exported to JPG.
8. Took screen shots of Data Frame Properties/Coordinate System tab to prove all required data sets and layers are in proper coordinate system.
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