Assignment2 (1)

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DePaul University *

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Economics

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Jun 11, 2024

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Assignment 2 | Map Types and Map Design [Add you name here] Objective: In this assignment, you will implement the following:  Use vector data model to create maps  Working with attribute tables  Understand data types (text, numeric) and map types, and use the appropriate map type for the data type and purpose  Create technically correct maps (use correct map types, colors, symbols and visual elements) with visual hierarchy  Technical writing (answering technical questions)  Formal writing using essays and cite sources  Potential benefits of using maps for analyzing patterns and use it for decision making S ubmit a single word document with the map and the answers to all the questions. Task: Q1: Male and Female Unemployment Map [22 Points] 1. Add the CCA_Demography.shp file to ArcGIS Pro. 2. Open the attribute table, examine the variables. Q1.1 : Technical Questions: 1. [0.5 pts] Open the attribute table for the shapefile you added, take a screen capture of the table with the field names (column headings) and 5 rows of the data. Include it here. 2. [0.5 pts] List all the numerical fields 3. [0.5 pts] List all the text fields 4. [0.5 pts] What type of shapefile is it? (point, line, polygon ?) 5. [0.5 pts] Which data model does this shapefile fall under? 6. [0.5 pts] We need to create a map to show both male (UnempM) and female (UnempF) unemployment on the same map. What type of variables are these? (e.g. text, numerical) 7. [1 pt] What is the most appropriate map type to show both male and female unemployment? Explain why? 8. [1 pt] Could you use any other map type? Explain why? Q1.2: Create a Map [5 Pts] 1. Create a map to show both male (UnempM) and female (UnempF) unemployment on the same map. 2. Label the maps using the field CCANum. 3. Rename the legend variables and shapefile name to more meaningful names. 4. Make sure to add the map elements (see slides for a complete list of map elements). The source of this data is U.S. Census 2018. 5. Include the design principals learnt in class. i.e. use correct colors, legible text, etc. 6. Export the map to JPG format, insert the map into your assignment document. Do not resize the map, the map should fit the whole page. _______________________________________________________________________________ © Nandhini Gulasingam 1

Q1.3: Non-Technical Writing What can you interpret from the map? Use the following questions to formulate your answer. The answer should be in an essay/paragraph format (See sample document provided on D2L) . Cite at least 2 sources. Write a 1-page essay (single spaced, 11 or 12 point font). Answer to each of the following questions will be a separate paragraph. To earn the full score, it has to be in an essay format with multiple paragraphs answering each question in a separate paragraph. 1. [1 pt] Explain briefly the purpose of the map. 2. [1 pt] How to read the map. 3. [3 pts] Compare both male and female unemployment. Which communities have high male / female unemployment? Explain why? 4. [3 pts] Compare both male and female unemployment. Which communities have low male / female unemployment? Explain why? 5. [2 pts] Are you surprised by the results you see? Why/Why not? Explain 6. [2 pts] Cite at least 2 sources. Use the correct citation method. Please note that just listing the references will result in zero points. The reference should be included in the narrative to explain the relevance of the citation. See D2L for citation instructions. Q2: Median Household Income Map [20 Points] 1. Add the CCA_Demography.shp file to ArcGIS Pro. 2. Open the attribute table, examine the variables. Q2.1 : Technical Questions: 1. [0.5 pts] We need to create a map to show Median Household income (HHInc_T). What type of variable is this? (e.g. text, numerical) 2. [1 pt] What is the most appropriate map type to show Median Income? Explain why? 3. [1 pt] Could you use any other map type? Explain why? Q2.2: Create a Map [5 Pts] 1. Create the map to show the Median Household income. 2. Label the maps using the field CCANum. 3. Rename the legend labels to more meaningful names. 4. Make sure to add the map elements (see W2 slides for a complete list of map elements). The source of this data is U.S. Census 2018. 5. Include the design principals learnt in class. i.e. use correct colors, legible text, etc. 7. Export the map to JPG format, insert the map into your assignment document. Do not resize the map, the map should fit the whole page. Q2.3: Non-Technical Writing What can you interpret from the map? Use the following questions to formulate your answer. The answer should be in an essay/paragraph format (See sample document provided on D2L) . Cite at least 1 source. Write a ½ -page essay (single spaced, 11 or 12 point font). Answer to each of the following questions will be _______________________________________________________________________________ © Nandhini Gulasingam 2

a separate paragraph. To earn the full score, it has to be in an essay format with multiple paragraphs answering each question in a separate paragraph. 1. [1 pt] Explain briefly the purpose of the map. 2. [1 pt] How to read the map. 3. [3 pts] Which communities do you see low values and the reasons for the low value? Explain why? 4. [3 pts] What recommendations and/or actions will you take to address the reasons you stated in the previous question? 5. [3.5 pts] Briefly explain the benefits of this map – i.e. how does visually looking at the map helps rather than just looking at the attribute data, how this map could be used by various populations/industries to benefit the residents of the low-income areas? Note: it is not asking for pros and cons of the map. 6. [1 pts] Cite at least 1 source. Use the correct citation method. Please note that just listing the references will result in zero points. The reference should be included in the narrative to explain the relevance of the citation. See D2L for citation instructions. Rubric: Meet expectation In progress of reaching the benchmark Needs improvement 1. Comply with guidelines 100% of the points : the report/map are written/made clearly and complies with the guidelines. 80% of the points: the report/map are not written/made clearly while following the guidelines over 80% OR the report/map are written/made clearly following the guidelines only 60-90%. 50% or less of the points: the report/map follows the guidelines less than 50% regardless of clarity. 2. Use computational thinking (CT)* concepts and skills 100% of the points : clear demonstration that you correctly used CRS as CT concepts and skills. 70% of the points: vague demonstration that you used CRS correctly as CT concepts and skills. 25% of the points: you incorrectly used CRS as CT concepts and skills 3. Design solutions to problems 100% of the points : a workflow you devised led to correct results and products you created (such as maps) help solve a problem at hand. 70% of the points: a workflow you devised led to correct results, but it is unclear that products you created (such as maps) help solve a problem at hand OR products you created could have helped solve a problem if a workflow you devised had led to correct results. 25% of the points: a workflow you devised led to incorrect results OR products you created (such as maps) does not help solve a problem at hand. MCD Learning Outcome-1: Computational thinking* Computational Thinking (CT) refers to abilities to formulate and solve problems in a way that can be computationally carried out . Most recurring CT concepts include: Note: Parts of MCD Learning Outcome represented in blue and underlined is evaluated in this assignment. 1. Decomposition (i.e. breaking down into smaller, manageable parts) Examples: Examples of decomposition is breaking down the main problem into smaller, manageable parts . For example, ‘creating a map’ includes, extracting and adding the spatial data, manipulating the _______________________________________________________________________________ © Nandhini Gulasingam 3

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spatial data to visually represent the data and add the visual elements to be able to read the data in map format by both technical and non-technical folks . 2. Abstraction (i.e., reducing a complex problem or reality to essential components) Examples: Examples of abstraction as it relates to GIS, are datum for unambiguously referencing locations on the Earth’s surface, map projection for portraying geographic features on the ground in the 2D surface, data model for representing spatial and non-spatial aspects of the reality (e.g., vector, raster, table), and visual variables (e.g., color hue, size, color value, shape) for cartographically representing attributes of geographic features on the Earth’s surface . 3. Algorithms (i.e., a step-by-step procedure to solve a problem) Examples: Examples of algorithm is breaking down the problem smaller steps and following them step-by-step as in creating the map from extracting the data to adding the data, manipulating the spatial data to visually represent information and create the final map with map elements. It also includes use of operations such as data classifications, selection query, table join, overlay, interpolation, buffer, etc. or use of programming concepts like conditional statement or loop to control workflow. 4. Programming Concepts (i.e. using data, functions, conditions, loops, formulas, etc.). Examples: Examples of programming concepts includes using different types of data ( spatial , attributes – quantitative and qualitative , and pixel-based raster data), working with databases, classifications, computations using formulas, functions, conditional statements, and loops for manipulating data, representing information or control workflow. MCD Writing Expectations Writing Includes: a. Technical writing (Q1.1, Q2.1) b. Formal writing (i.e. Non-Technical Writing) – 1.5-pages (Q1.3, Q2.3) c. Citations (3 citations, Q1.3, Q2.3) _______________________________________________________________________________ © Nandhini Gulasingam 4

Assignment2 (1)

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