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Exam #1 Study Questions
GIS Modeling, GEOG 3110 University of Denver
Exam 1 Study Questions— covers week 1-5 material (required reading,
lecture and lab exercises)
The exam will be a 2.0 hour (maximum) closed book affair taken over the Internet (honor system) at your convenience— it will be posted on the class website by 8:00 am Friday February 12 and must be completed by 5:00 pm Wednesday February 17. You will download the exam (time/date stamped at our website) and submit the completed document within 2.0 hours. BE SURE to save your completed Word file before you exit to submit it!!!
At least two-thirds of the exam will be taken directly (verbatim) from the following list of questions. There will be at least one question from each of the three types of questions ( Terminology …, How Things Work , and Mini-Exercises ). In each section you will be given two more questions than you are required to answer, thereby allowing you to skip the ones you find most troublesome.
You are strongly encouraged to study together and exchange insights about
answering the questions… tackling this list alone is not recommended and will likely sink you as it is a time-sink. Previous classes have 1) established study groups (or most often the entire class as a single study group), 2) then assign a “manageable” number of questions to each person, 3) exchange draft answers, and 4) “polish” the answers through an email dialog. While the exam is CLOSED BOOK and NOTES , a communal study guide gives you a huge leg-up in understanding the questions and formulating good, comprehensive answers that you can “easily” pull out of your head …many brains are better than one.
The exam will not be curved, so all of you can max the exam (together)! Send me an email if a question needs further explanation and I will post clarification …this offer is for clarification only and doesn’t apply to answering the question.
Note : Some the questions have not “resonated very well” with previous classes, so I have eliminated 25 out of the full set of questions (25/65= nearly 40%). You only are responsible for the 40 “numbered” questions …the ones with “strike-through” will not be candidates for the exam but I leave them in the list for those of you that want even more for your tuition buck if you want to review them on your own.
I will select at least two-thirds of the exam questions from the following—
Questions on Terminology, Procedures and Basic Concepts…
- Briefly explain the difference between Traditional GIS and Spatial Analysis.
- Briefly explain the difference between Traditional Statistics and Spatial Statistics.
- Briefly describe the difference between Equal Ranges and Equal Count modes for dividing the data range of quantitative mapped data (e.g., elevation or air pollution concentrations).
- Briefly describe how an “aesthetic” map is created considering visual exposure to specified locations.
- Briefly describe the similarities and differences among Binary , Ranking and Rating suitability models.
- What is the fundamental “element” used in vector system storage? What is the fundamental “element” used in raster system storage? Briefly explain the similarities and differences between the two fundamental elements.
- Briefly describe the differences among the related GIS disciplines of “ Computer Mapping ,” “ Spatial Database Management ,” and “ GIS Modeling .”
What is the distinction between a “Display” of mapped data and the “Map” itself?
- What is the distinction between a discrete “map” and a continuous “map surface.”
What is the difference between “lattice” and “grid” map display forms? Comment on the differences in the map displays they create.
- What is the difference between “choropleth” and “isopleth” map data?
Explain the contention that “ map scale ” does not exist in a GIS.
- Identify and briefly describe the four “ resolution ” factors that need to be considered when assessing the level of detail in a GIS map.
- Identify and briefly describe the four fundamental processing/analysis levels of a suitability model. Be sure your answer relates these levels to the degree of abstraction from physical fact to decision judgment.
Identify and briefly describe the four fundamental classes of grid-based map analysis operations.
What, if any, is the difference between a “pixel” used in remote sensing raster images and a “grid cell” used in grid-based map analysis?
Briefly describe how a map identifying Convex and Concave features can be identified from an Elevation surface as described in Topic #8 of the class textbook and homework Exercise #5.
- What information is gained when you use Scan to calculate “ coefficient of variation ” for a location on a surface map?
Explain how a slope of more than 0 often is generated for the edges of lake and pond features.
Identify and briefly discuss the three types of “raster” data.
In a simple model, flow is measured as the fastest/steepest downhill path. What are the four types of flow that are used in more advanced flow models and what are some of the realities of flow that can be added to make flow models more accurately represent reality?
- Briefly explain the major differences among the distance measurements calculated with a ruler, the Pythagorean Theorem and the “splash algorithm.” Be sure you answer addresses the relative appropriateness of implied movement in a real world landscape.
Questions on “How Things Work”…
- Define “ narrowness ” (MapCalc Span command) and describe how a narrowness value is computed for a location within a map feature, such as a meadow.
- Briefly describe the approach for generating the “ shape ” index (a.k.a., Convexity Index). Your answer should include the discussion of the procedure, the data range and interpretation of the resulting map values.
- Briefly describe how region-wide overlay ( Composite ) works. Use the example of determining the average slope for each district in a project area in your discussion.
- Briefly describe how cartographic overlay ( Cover ) works. Use the example of covering a map of slope values to isolate just the slopes in a particular portion of the area.
- Briefly describe how visual connectivity ( Radiate ) works. Use the example of determining the viewshed for a single map location containing a scenic turnout along a highway.
Briefly describe how a “Prominence” map of visual connectivity is calculated. Be sure your answer addresses the difference between prominence calculated for a single viewer
location and prominence calculated for a set of viewer locations, such as from a map of houses (points), roads (lines) or timer harvesting “clearcuts” (polygons).
Given the following spatial data, which forest parcel (polygon) is most irregularly bounded (has the lowest convexity index)? Note: the numbers will be changed if this question is used.
Parcel A’s perimeter= 5,000m and area= 350,000m Parcel B’s perimeter= 3,000m and area= 420,000m Parcel C’s perimeter= 2,000m and area= 260,000m
- Using the analogy to tossing an object(s) into a pond, describe how a simple proximity map is created for the following MapCalc commands…
SPREAD RanchMap TO 100 for Ranch_Prox SPREAD HousingMap TO 100 for Housing_Prox SPREAD RoadMap TO 100 for Road_Prox
Suppose you created a travel-time map (proximity surface) from one location, such as a firehouse, to all other locations within a city. Describe how the computer determines the optimal path to a “house on fire” given the travel-time map and the coordinates of the fire (column, row location on the proximity surface).
In MapCalc’s Radiate command for calculating visual connectivity, how do the options “ simply ,” “ completely ,” and “ weighted ” affect the resultant map?
Calculate the “simple average” and “weighted average” for the following set of data. Be sure to expand you answer to include a very brief discussion how these two procedures can generate significant differences in Suitability Modeling results.
Value Weight 9 1 7 10 3 2 2 2 8 6 Simple average = ________________ Weighted average = ________________
Referring to the following diagram, calculate the number of Edges and Sides for the map feature identified as category 2. Expand you answer to include a very brief discussion about which approach is best for representing the perimeter of an areal feature.
- What is the maximum slope (center to eight adjacent neighbors) for the 3x3 window composed of elevation values shown below, given 1) that the elevation values (in meters) are indicated in the upper portion of each cell, 2) that the grid cell size is 100 meters, and 3) that the square root of 2 is 1.414? Be sure to expand you answer to include a very brief discussion how this procedure could be used in applications other than terrain analysis. Note: the numbers will be changed if this question is used.
From the class discussion and your lab report for exercise #3 compare any two of the three example grid data formats (MapCalc .rgs, Surfer .grd or Esri .asc).
Map Analysis “Mini-Exercise” questions…
- What information would be generated by the following MapCalc command sequence — Spread Roads to 35 For Road_proximity Composite Districts With Road_proximity Average For What?
- What information would be generated by the following MapCalc command sequence — Radiate Housing Over Elevation Weighted to 100 For Housing_Vexposure Spread Roads to 35 For Road_proximity Renumber Road_proximity Assigning 1 to 0 Thru 5 Assigning 0 to 5 Thru 35 For Mask Compute mask times Housing_Vexposure For What?
- What information would be generated by the following MapCalc command sequence — Slope Elevation Fitted For Slopemap Scan Slopemap Maximum Within 5 Around Roads For What?
- What information would be generated by the following MapCalc command sequence — Spread Housing to 35 For Housing_proximity Renumber Housing_proximity Assigning 1 to 0 Thru 5 Assigning 0 to 5 Thru 35 For Mask Slope Elevation Fitted For Slopemap Renumber Slopemap Assigning 1 to 0 Thru 15 Assigning 0 to 15 Thru 1000 For Mask Compute Mask1 times Mask2 For Special_conditions Composite Districts With Special_conditions Total For What?
Use MapCalc to solve the following map equation that solves for the Normalized Density Vegetation Index (NDVI) based on the relative red and near infrared responses in remote sensing images for each location (AgData.rgs database)…
NDVI_map = (200_Image_8_30_NIR - 200_Image_8_30_Red) / (200_Image_8_30_NIR
Identify the areas with “unusually high NDVI values” (greater than 1 standard deviation above the mean) and drape a map display of these areas (red) over the Elevation map for the field.
- Given base maps of Roads and Covertype (Tutor25.rgs database) generate a map that assigns a proximity to roads value for just the forested locations. Note: use MapCalc to implement and SnagIt to capture your solution and embed below. Be sure to identify the input maps, processing procedure, and output map with an interpretation of the map values.
- Given base maps of Housing, Elevation and Districts (Tutor25.rgs database) prepare a map that assigns the average visual exposure to houses value to each District. Note: use MapCalc to implement and SnagIt to capture your solution and embed below. Be sure to identify the input maps, processing procedure, and output map with an interpretation of the map values.
- Given base maps of Covertype and Elevation (Tutor25.rgs database) generate a map analysis that assigns the average slope for forested locations that are southerly oriented (SE, S, SW). Note: use MapCalc to implement and SnagIt to capture your solution and embed below. Be sure to identify the input maps, processing procedure, and output map with an interpretation of the map values.
