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Tuesday, May 24, 2011

Earthquakes


Earthquakes Part 1:
1.     Opened provided NewMadrid.mxd file in ArcMap.
2.     Turned on Quakes 5 layer.
3.     Turned on Urban Areas layer.
a.     Which major urban area is likely to suffer the most damage in this event?  Memphis, Tennessee
4.     Selected features likely to experience at least intensity VI-related damage.
a.     Select by Location -> Select features in Urban Areas layer that intersect features in New Madrid MMI layer. 91 features selected.
5.     Summarized DESCRIP field for selected features, and added to map as UrbanRisk table. Turned off Quakes 5 layer,
a.     How many urban centers would experience at least a VI level of intensity? 91
6.     Turned on Counties layer.
a.     Added field to attribute table to calculate Area Proportion. Field will represent persons per square meter.
b.     New field: Pop_Density, Type: double.
c.      Field Calculator -> [POP2001]/[Shape_Area]
7.     Overlaid population within MMI zones.
a.     ArcToolbox -> Analysis Tools -> Overlay toolset -> Intersect.
b.     Input features: Counties, New Madrid MMI
c.      Changed output feature class name to CountyMMI.
8.     Adjusted population totals to new areas.
a.     Added new Long Integer field (POP2001ADJ) to attribute table.
b.     Field Calculator -> [Pop_Density]*[Shape_Area]
9.     Summarized population within each of the MMI zones.
a.     Summarized MMI field
b.     Summary statistics: POP2001ADJ field by sum.
c.      Added resulting output table PopMMI to map.
d.     How many people live within the MMI zones? 60,099,857
e.     Created graph of people within each of the MMI zones.
10. Added new field to New Madrid MMI attribute table.
a.     Name: MMI_num, Type: Short Integer
b.     Populated field with numbers corresponding to the Roman numeral values in MMI field.
11. Turned on Interstates layer.
a.     Selected polygons with MMI value of 8 or higher, the intensities in which motor vehicle operation would be disturbed, according to the Modified Mercalli Scale.
b.     Extract toolbox -> Clip
c.      Clipped Interstates layer to selected features in New Madrid MMI.

d.     Output feature class: IstateRisk, added to map
e.     Renamed layer to Interstates at Risk, changed symbol to Highway with line width 1.
12. Turned on Rail layer
a.     Selected polygons on New Madrid MMI layer with MMI of 10 or greater, which are the intensities in which rails would be bent.
b.     Extract toolbox -> Clip
c.      Clipped Rail layer to selected features in New Madrid MMI.
d.     Output feature class: rrRisk, added to map
e.     Renamed layer to Railroads at Risk, changed symbol to railroad
13. Turned on Dams layer
a.     Selected polygons in New Madrid MMI layer that have MMI value greater than or equal to 8.
b.     Select by location -> Select features from Dams layer that are completely within the selected features of the New Madrid MMI layer.
c.      Created layer from selection, and changed name of layer to Dams at Risk.
14. Created deliverable map from output in Step 8 of lab/Step 12 in this process summary. 
15. Saved and closed file.


Earthquakes Part 2:
1.     Opened Northridge1.mxd in ArcMap.
2.     Checked to make sure Spatial Analyst extension was loaded.
a.     Customize Menu -> Extensions -> check Spatial Analyst box -> Close
3.     Turn on Building Status layer.
4.     Symbolized layer
a.     Properties dialog -> Symbology tab -> Categories -> Unique values à click  Add All Values
b.     Changed symbolization symbol to 1.00 point, and no outline.
c.      Under Advanced, chose Symbol Levels, and checked box to Draw This Layer using given symbol levels. Rearranged symbol levels.
5.     Create Building Damage Density map.
a.     ArcToolbox -> Spatial Analyst Toolbox -> Density -> Kernel Density
b.     Input point or polyline features: Building Status, Output raster: MyData\DmgPattern, Search Radius: 500, Population field: NONE, Output Cell Size: 100, Area Units: Sq. KM.
c.      Turned off Building Status and MMI layers.
d.     Under Color Selector properties for DmgPattern, checked box for Color is Null.
e.     Adjusted transparency to DmgPattern to 15%.
f.      Saved raster as layer file.  Added new file to map and removed original raster file.
g.     Renamed DmgPattern to Building Damage Density


6.     Turned on Geology layer.  Looked for correlation between damage concentration and rock unit. Turned off Geology layer.
7.     Turned on Liquefaction layer, and compared relationship between building damage pattern and liquefaction potential. Turned off Liquefaction layer.
8.     Turned on Stations layer to compare building damage to peak ground acceleration and peak ground velocity.
a.     For PGA:
                                               i.     ArcToolbox -> Spatial Analyst -> Interpolation Toolset -> Spline.
                                              ii.     Input point features: Stations, Z value field: PGA, Output raster: \MyData\PGA, Spline type: tension, Weight: 4, Points: 12, Output cell size: 100.
                                            iii.     Symbolized layer with 45% transparency and a yellow->red color ramp.
                                            iv.     Compare building damage pattern against PGA.
b.     For PGV:
                                               i.     Interpolated again, except used PGV for Z value field, and named output raster PGV.
                                              ii.     Symbolized layer with 45% transparency and yellow->red color ramp.
                                            iii.     Compared building damage pattern against PGV.
9.     Created deliverable for this portion of lab.
10. Saved file and exited ArcMap.


Earthquakes Part 3:
1.     Opened Northridge2.mxd in ArcMap
2.     File menu -> Add Data -> Add XY data -> Add NorthridgeAfter.csv file in data file.
a.     Lon is X field, Lat is Y field
b.     Spatial Reference Properties: WGS 1984.prj
c.      NorthridgeAfter.csv Events is added to map. Exported this data to NorthridgeAfter.shp in MyData folder. (Exported all features, in the same coordinate system as the data frame).
d.     Changed symbolization to a Dark Navy symbol, renamed layer to Northridge Aftershocks.
3.     Selected main shock. Created new layer from selection, and changed symbolization to a red triangle size 18 point.
4.     Cleared selection of main shock. Created new selection by attribute for all aftershocks of magnitude 3 or greater.
a.     Symbolized layer with graduated colors based on magnitude and a green->yellow->red color ramp.
b.     Only needed three classes.  Set number of decimal places to 1.
c.      Changed symbol levels to draw according to specified levels.
5.     Created deliverable for this portion of lab.
6.     Saved file and exited ArcMap.



Earthquakes Part 4:
1.     Opened Northridge2.mxd in ArcMap.
2.     Summarized aftershocks by magnitude over time.
a.     Earthquakes layer Attribute table à Summarized DaysAfter field, including maximum magnitude of aftershocks.
b.     Output table saved as Aftershocks.dbf, and added to map.
3.     Created and exported to JPG graphs of the amount of aftershocks.
a.     Aftershocks table -> Options menu -> Create Graph
                                               i.     Type: vertical bar, Layer/Table: Aftershocks, Value field: Count_DaysAfter, X field: None, Add to Legend: unchecked
4.     Created and exported to JPG graphs of the maximum magnitude of aftershocks.
a.     Aftershocks table -> Options menu -> Create Graph
                                               i.     Value field: Maximum_magnitude.
5.     Tried to create final map…had trouble with changing symbol drawing order.

Thursday, April 14, 2011

Google Maps


I had a tough time selecting a location for my wind farm because I got sidetracked and drawn into reading about the politics of constructing them, but this is really outside the scope of the lab.


Wind Speed:
The location I picked is offshore, about 6 miles North of Rogers City, Michigan on Lake Huron.  Wind speed ranges between 6.5-7 m/s, which is sufficient.  I picked an offshore location because wind speeds are more constant there than on land.


Ornithology:
I had trouble assessing this factor in particular when picking my site.  I believe the major cause for concern in this location is migration of ducks, but there is a great deal of bird migration over the Great Lakes in general.  With the information I could readily access (and understand...), I can't say I know enough to be able to really analyze my chosen site in regard to the ornithology.


Noise:
The British Wind Energy Association (http://www.bwea.com) reported that the sound from a wind farm 350 meters away (a typical setback distance) was less than that of an automobile moving at 65 km/h a hundred meters away. Noise should not be a problem for communities on land.


Shadow Flicker:
The wind mills shouldn't cast a shadow on land, making this a non-issue for humans.


Shipping Impact:
Depending on the size of the farm (number of wind mills), it should be outside of major shipping paths.


Landscape and Visual Impact:
Lake Huron is on the more shallow end of the Great Lakes spectrum, making constructing a farm more monetarily feasible here than in the other lakes.  Also, at 6 miles distance from the nearest large city, the wind farm should not be visible or just barely visible.  I opted to locate the farm offshore, but closer to habitation areas so the infrastructure to carry the energy produced could be readily and economically constructed and utilized, and also so public opposition to wind farms near protected nature areas like State Parks could be minimized.

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.

Thursday, March 31, 2011

Isometric Maps


I had trouble tinting the areas between isolines, so I regretfully omitted this from my map.  

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

Process summary:


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.