EXERCISE 5

EX#1There are 26 states with Jefferson County. Kentucky has the most populous county.Method: Use Select by Attributes on the Counties layer, and use the expression “NAME”=’Jefferson”.Open the attribute table and sort on the POP2010 field.

EX#2A total of 822 counties out of 3141 have more males than females, or 26%. Many of them are in the Mountain and Plains states.Method: Use Select By Attributes on Counties and enter the expression “MALES”>”FEMALES”. Open the attribute table to find out how many counties are selected, and calculate the percentage on a calculator.

EX#3There are 23 cities that meet all these criteria. The three largest are: Livonia, MI; Spring Hill, FL; and Surprise, AZ.Method: Open the attribute window and do one query at a time (the order does not matter). For the first query, find the cities with blacks greater than Hispanics. Then switch the selection method to Select from current selection, and query for age over 40. Finally still selecting from current selection, query for cities with population > 50000 and population< 100000.

EX#4A total of 889 out of 3141 counties are adjacent to a river or 28.3%. The number of people in river counties is 89,063,668 out of 311,212,863 in the United States, or 28.8%.Method: Use Select by Location to select the counties that intersect rivers. Open the attribute table and right-click the POP2010 field to get statistics for the total number of people in river counties. Then clear the selection, and repeat the statistics again to get the population of the entire United States. Calculate the percentages on a calculator.

EX#5There are 6 counties containing capitals and having more than one million people. The states are Arizona, California, Georgia, Ohio, Texas and Utah.Method: Use Select by Location to select the counties containing capitals. Then use Select By Attributes to find the counties with more than one million, making sure that you choose Select from current selection as the method. Open the attribute table to find the number and List the state names.

EX#6There are 142 cities out of 3557 cites which are within 50 miles of the volcanoes.Method: Use Select by Location to select the cities which are within 50 miles distance from the source file (volcanoes)

EX#7There are 35 volcanoes within 300 miles of Crater Lake (not including Crater lake). There are 15 of these within 50 miles of an Interstate.Method: Do an attribute to select Crater Lake, then Select by Location to find volcanoes within 300 miles of Crater Lake, using the same layer for the selection layer and the query layer. To find the ones close to an interstate, do another Select by Location, but this time change the method to Select from current selection.

EX#8There are 99 West South Central cities that are less than 200 miles from Oklahoma City.Method: Use Select by Attributes to select the South Central sub region from the states layer. Then use Select by attributes to select Oklahoma City from the Capitals layer. Next, Use Select By location with the same cities source/target layer to select the cities that are within 200 miles of Oklahoma City. Finally use Select by Location to select from the current selection the cities in the sub region.

EX#9There are 18 capitals more than 50 miles from a river. Indianapolis is the largest.Method: select all of the capitals (right-click the layer and choose Selection>select All). Then do a spatial query for areas within 50 miles of interstates, but use the “Remove from selection” method. Sort the selected set on the POP2007 field to find the largest.

EX#10Pahrump, Nevada is the only city that meets all these criteria.Method: First select the large cities with more than 250,000 people, create a layer from them and name it Big Cities. Then select the low density counties with fewer than 25 people per sq. mile, create a layer, and name it Low density Counties. Do a select by location for cities with 50 miles of the Big Cities. Do another Select By Location, this time using select from current selection, to select the cities that are within the low Density Counties. Finally, do an attribute query for population between 20,000 and 40,000 again using select from current selection.

EXERCISE 6

EX#8The furthest town from an airport is Jordan Valley, about 334 km from an airport.Method: Look at the General tab of the data frame properties to determine the map units (meters). Then, do a spatial join with the cities as the destination layer and the airports as the source layer. Sort the resulting attribute table by the distance field to find the furthest town. Convert the value from meters to kilometers.

EX#9Portland International serves both the most cities (58) and the most people (1,340,000). The POP2000 field contains -99999 nodata flags that are messing up the sum of the results.Method: Do a summarized spatial join of the cities to the airports with airports as the destination and sum as the statistic. Sort the Sum_POP2007 field to find the answer.

EX#10Willamette NF and Deschutes NF have the greatest number of lakes, 12. Mount Hood NF has the greatest lake area, about 290 square miles. The numbers repeat because the lake intersects more than one park, and the same information has been appended to more than one park.Method: Join the lakes to the parks with parks as the destination layer. Choose the summarized option and select the Sum Statistic. Sort the output table by Count to get the number of lakes and the Sum_SQMI area to get the total area of lakes.

EXERCISE 7

EX#1About 113 kilometers of roads cross the Madison Limestone.Method: Intersect the usfsrds and the geology layers. Use Select by Attributes to select the roads in the new feature class that cross the Madison, e.g. [Name]=”Madison Limestone”. Use statistics on the Shape-Length field to find the total length of the selected roads in meters, and convert them to kilometers.

EX#2The answer is the map below.Method: Intersect the usfsrds and the geology layers. Create a unique values map based on the INFIL field, with green for low, orange for moderate and red for high.

EX#3The values range from 2-6Method: Add a new short integer ROADCLASS field to the intersected feature from class. Select the primary roads and calculate the new field to a value of 3. Select the secondary roads and calculate a value of 2. Select the primitive roads and calculate a value of 1. Create a second short integer field called SpillHaz and calculate the hazard index as INFILCLASS + ROADCLASS. Create a unique vale map based on the SpillHaz field.

EX#4See the table below.Method: perform a union or intersect of the wshed2b and lulc feature classes. In the output table, select the rangeland using the expression [Name] LIKE ‘*Rangeland*’. Summarize based on the SHEDNAME field, using only the selected records, and request the sum of the Shape_Area field as the statistic. Format the table to show the desired fields with proper formatting and aliases.

EX#5See the map below.Method: Buffer the streams to 300 meters, making sure to choose ALL for the dissolve option. Use Select by attributes to select the primitive (TYPE=”PR”) roads. Buffer the roads to 300 meters, again choosing ALL to dissolve. Intersect the two sets of buffers to create a layer with the fishing areas.

EX#6See map below.Method: Use Select by attributes to select the NFS areas from the vegetation layer, and create a layer called public from it. Dissolve public on the Owner field to remove extraneous boundaries and create a publicdis layer. Intersect publicdis with the fishing areas from Ex#5 to create a layer showing public fishing.

EX#7See the map below.Method: Dissolve the geology layer based on the INFIL field to produce a later called infiltration. Clip infiltration using the wsheds2b layer to produce a lyer called infilclip. Symbolize infilclip on the INFIl field.

EXERCISE 8

EX#1See map below.Method: Use select by Attributes on the vegetation feature class to find the polygons meeting the criteria of density and owner. Convert them to a raster. If you use the OWNER field for the conversion the result will be Boolean. If not, reclassify it to have only 0, 1, or NoData.

EX#2See map belowMethod: Use select By attributes to select the primary and secondary roads from ufsrds. Use the Euclidean distance tool to create a distance raster (roaddist). Then use the Raster calculator to evaluate roaddist<500 to create the Boolean raster.

EX#3See map below.Method: Use the slope function to create a slope raster from the topo30m raster. Then use Block Statistics, choosing a rectangle window, setting the units to map, and entering 300 as both width and height, creating an outout blkavg300. Then use the Raster Calculator to find areas with average slope less than 10 degrees using the expression blkavg300<10.

EX#4See map below.Method: Use the Raster calculator to multiply the Boolean grids. Determine the number of cells with a 1 value (44925) from the attribute table of the result and multiply by the cell size to find area A=44925*30/1000000 = 40.4 km^2

EX#5See map below. There are twelve potential sites with the minimum area.Method: Reclassify the final sites raster to ensure that it has only 1 and NoData, with no zeroes. Then convert the raster to polygons using the Value field. Add an Area_km field with a float type to the attribute table and use the Field Calculator to calculate the area in kilometers using the expression [shape_Area]/1000000. Use Select by Attributes to select the sites with [Area_km].1. Create a layer from the selected features and label it with the [area_km] field.

EX#6The Madison Limestone has the highest average slope, about 15.4 degrees. The Upper Mesozoic has the lowest average slope about 3.0 degrees.Method: Do a zonal Statistics with geology as the zone layer and slope30m as the value grid. Sort the joined result by mean slope, in decreasing order.

EXERCISE 10

EX#1Following are names of the Hotel

Name Address1 The Driskill Hotel 604 Brazos Street, Austin, TX2 Omni Hotels and resorts 700 San Jacinto Blvd, Austin, TX3 Austin Hotel 1220 South Congress Ave, Austin, TX4 Courtyard Austin Airport 7809 East Ben White Blvd, Austin, TX5 Hampton inn and Suites 200 San Jacinto Blvd, Austin, TX

6Radisson Hotel and Suites

111 East Cesar Chavez Street, Austin, TX

7 Hotel San Jose 1316 South Congress Ave, Austin, TX8 Four Season Hotel Austin 98 San Jacinto Blvd, Austin, TX9 Hilton Garden Inn 11617 Research Blvd, Austin, TX10 Sheraton Austin Hotel 701 East 11th Street, Austin, TX

EX#2Method: The hotel were geocoded by right click on the sheet and plotting them using latitude and longitude.

EX#3See map belowMethod: Create the Rapid City geocoding after examining the field to see which correspond with the single range style. One address will not match, I-90 & Deadwood Ave. Its slightly off the map.

EX#4See map below. You should have about 563 matched, 2 ties and 22 unmatched.Method: geocode the cities using the City_State service previously created. All cities should match first time except those without data in the reference layer.