Introduction to Spatial Data Science
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Introduction to Spatial Data Science

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Questions and Answers

What is the primary purpose of the .SBN and .SBX files in a shapefile?

  • To provide a graphical representation of data
  • To store demographic data
  • To optimize spatial queries and reduce loading times (correct)
  • To describe the encoding of the shapefile

    • How often is data collected by the American Community Survey (ACS)?

  • Every decade
  • Every month
  • Every two years
  • Every year since 2005 (correct)

    • What is included in the types of topics covered by the ACS?

  • Only housing and employment data
  • Social, demographic, economic, and housing topics (correct)
  • Health and environmental data
  • Only demographic and economic data

    • Which of the following describes the data collection process for the ACS?

    <p>Data collection occurs through mail, in-person visits, and the Internet.</p> Signup and view all the answers

    What happens if a shapefile does not have a .CPG file?

    <p>It defaults to the system's encoding.</p> Signup and view all the answers

    When are the ACS data typically released?

    <p>One year after data collection is completed</p> Signup and view all the answers

    Which statement about NHGIS is correct?

    <p>NHGIS offers summary tables and mapping files from 1790 to present.</p> Signup and view all the answers

    What is the difference between the ACS and the Decennial Census?

    <p>The ACS is conducted every month while the Decennial Census occurs every ten years.</p> Signup and view all the answers

    What type of data is described as non-numerical and includes characteristics like names and colors?

    <p>Qualitative Data</p> Signup and view all the answers

    Which step is NOT part of the Spatial Data Science Process?

    <p>Impact Assessment</p> Signup and view all the answers

    What is an important step for ensuring success in data governance according to the content?

    <p>Training and upskilling key roles in data governance</p> Signup and view all the answers

    Which of the following represents a characteristic of GeoDesign problems?

    <p>They include questions related to data, knowledge, and values.</p> Signup and view all the answers

    Which of the following represents one of the four operational pillars of data governance?

    <p>Ensuring data protection</p> Signup and view all the answers

    What is NOT a component of Data Science as mentioned in the review?

    <p>Data Storage in Cloud</p> Signup and view all the answers

    What should organizations focus on to gain support for data governance?

    <p>Increasing data quality</p> Signup and view all the answers

    What is one of the six questions addressed in GeoDesign problems regarding how the context functions?

    <p>How does the context function?</p> Signup and view all the answers

    Starting a backlog and keeping track of content for a data governance literacy program is part of which overall strategy?

    <p>Overall data governance strategy</p> Signup and view all the answers

    Which of the following best encapsulates the purpose of Geodesign as described?

    <p>To facilitate holistic designs using stakeholder input and simulations.</p> Signup and view all the answers

    In the Spatial Data Science Process, which step focuses on conveying information for decision-making?

    <p>Visualization, Storytelling, Sharing</p> Signup and view all the answers

    Which approach to data governance is considered more modern and supportive?

    <p>Increasing the usage of data assets</p> Signup and view all the answers

    What role does identifying data lineage play in data governance?

    <p>Supports operational efficiency and trust</p> Signup and view all the answers

    What aspect of the context does the question 'Is the context working well?' address?

    <p>VALUES</p> Signup and view all the answers

    Why is it important to break down data governance tasks into smaller, iterative work efforts?

    <p>It facilitates clearer review with executive stakeholders</p> Signup and view all the answers

    What is the primary tool for accessing data from the American Community Survey?

    <p>Data.census.gov</p> Signup and view all the answers

    What is a primary benefit of improving data quality in governance efforts?

    <p>It fosters trust between provider and consumer</p> Signup and view all the answers

    Which of the following tools is designed for users looking for statistics about specific geographic areas?

    <p>Census Business Builder</p> Signup and view all the answers

    What does TIGER stand for in the context of Census Bureau data?

    <p>Topologically Integrated Geographic Encoding and Referencing</p> Signup and view all the answers

    Which TIGER product allows users to visualize spatial data online?

    <p>TIGERweb</p> Signup and view all the answers

    What type of data do TIGER/Line Shapefiles primarily provide?

    <p>Legal boundaries and transportation features</p> Signup and view all the answers

    What essential aspect of geographic data should users consider when comparing year-to-year data?

    <p>Consistency of the GEOID</p> Signup and view all the answers

    Which of the following statements accurately describes the data contained in TIGER products?

    <p>TIGER products feature geographic information such as roads and rivers.</p> Signup and view all the answers

    What type of data can users access through the Application Programming Interface (API) offered by the Census Bureau?

    <p>More detailed ACS data</p> Signup and view all the answers

    What is the primary purpose of using a map along with another chart in data visualization?

    <p>To clarify the geographical location in a more engaging manner.</p> Signup and view all the answers

    When designing a dashboard, where should the most important view be placed?

    <p>At the top or upper left corner.</p> Signup and view all the answers

    What is the recommended maximum number of colors or shapes to use in a single view of a dashboard?

    <p>7-10 colors or shapes.</p> Signup and view all the answers

    What is a bullet chart best used for?

    <p>Creating a visual comparison between actual and target numbers.</p> Signup and view all the answers

    What should be avoided to prevent view overload in data visualization?

    <p>Displaying too many measures and dimensions in one view.</p> Signup and view all the answers

    Which layout is suggested for filters in a dashboard for better organization?

    <p>Using a layout container with a light border around them.</p> Signup and view all the answers

    What is the recommended structure for views with chained interactivity in a dashboard?

    <p>From left to right, top to bottom.</p> Signup and view all the answers

    Why should multiple dashboards be considered in data visualization?

    <p>To tell one detailed story without overloading a single view.</p> Signup and view all the answers

    Study Notes

    Data Science

    • Spatial Data Science is a multidisciplinary field that uses geographic principles and data to analyze, understand, and interpret spatial information
    • Data is any information that can be collected and analyzed.
    • Qualitative Data is descriptive, non-numerical, and deals with characteristics, qualities, or attributes. Examples include names, colors, textures, and descriptions.
    • Quantitative Data is numerical, represents quantities or measurements, and can be further divided into:
      • Discrete Data: has distinct values, like income classes
      • Continuous Data: has measurable values, like temperature
    • Data Science is a multidisciplinary field that encompasses several stages:
      • Data Collection and Preparation
      • Data Analysis and Exploration
      • Data Visualization
      • Machine Learning and Predictive Modeling
      • Big Data Analytics
    • Spatial Data Science Process involves five steps:
      • Data Collection
      • Data Engineering and Integration
      • Modeling and Scripting
      • Analytics
      • Visualization, Storytelling, and Sharing

    Geodesign Framework

    • Geodesign is conceived as an iterative design method that uses stakeholder input, geospatial modeling, impact simulations, and real-time feedback to facilitate holistic designs and smart decisions.
    • GeoDesign problems typically involve six key questions
      • How should the context be described? (Data)
      • How does the context function? (Knowledge)
      • Is the context working well? (Values)
      • How might the context be altered? (Data)
      • What differences might the changes cause? (Knowledge)
      • How should the context be changed? (Values)

    Shapefiles

    • Shapefiles are a geospatial data format used for storing geographic features like points, lines, and polygons.
    • Mandatory files for shapefiles include:
      • .shp: The main data file
      • .shx: Index file to speed up data access
      • .dbf: Attribute table for storing non-spatial data
    • Optional files for shapefiles include:
      • .sbn and .sbx: Spatial index files to optimize spatial queries for faster loading times.
      • .prj: Projection file to define the coordinate system
      • .cpg: Code page file to describe the encoding applied to the shapefile.

    American Community Survey (ACS)

    • ACS provides local statistics on critical planning topics such as age, children, commuting, education, and employment.
    • Data collection:
      • A household sample of 3.5 million addresses is surveyed each year.
      • Data is collected through the Internet, mail, and in-person visits.
      • Data collection for each monthly panel takes place over a three-month period.
    • Data release:
      • Data is typically released one year after it is collected.
      • Supplemental estimates are simplified versions of the ACS tables.
    • Frequency: The ACS is conducted every month and the data are released every year.

    National Historical Geographic Information System (NHGIS)

    • NHGIS provides easy access to summary tables and time series of population, housing, agriculture, and economic data, along with GIS-compatible mapping files.
    • Coverage: Data is available from 1790 to the present for all levels of U.S. geography.
    • Important Note: Geographic boundaries sometimes change while GEOIDs remain the same. Make sure you are comparing comparable data across time periods.

    Data.census.gov

    • Data.census.gov is the Census Bureau's primary tool for accessing data from the American Community Survey (ACS), the decennial census, and other Census Bureau data sets.
    • My Congressional District and Census Business Builder are specialized tools that provide users with quick and easy access to statistics.

    TIGER Data and Products

    • TIGER products are spatial extracts from the Census Bureau's Master Address File (MAF)/TIGER database (MTDB) and are designed for use with GIS software.
    • Data content: TIGER products include features like roads, railroads, rivers, and legal/statistical geographic areas.
    • TIGER products:
      • TIGERweb: A web-based system that allows users to visualize TIGER data online or stream it to mapping applications.
      • TIGER/Line with Selected Demographic and Economic Data: Geodatabases (or shapefiles for some 2010 Census data) joined with selected attributes from the census and ACS.
      • TIGER/Line Shapefiles: Provide legal boundaries, roads, address ranges, water features, and more for linking to demographic data using GEOID.
      • TIGER/Line Geodatabases: Spatial extracts from the Census Bureau's MTDB.

    Data Visualization Best Practices

    • Geospatial data requires specialized chart types like maps and stacked bar charts.
    • Maps are often best when paired with other charts to give more information.
    • Emphasize important data: Put the most important variables on the X and Y axes. Less important data can be represented with color, size, or shape.
    • Legibility: Rotate views to fit long labels when necessary.
    • Organization: Use bullet charts to visually compare actual and target numbers.
    • Avoid overloading: Break down views into smaller multiples, limit colors and shapes, and use interactive views only when necessary.

    Data Governance

    • Data Governance Literacy is about training and upskilling key roles in data governance.
    • Four Pillars of Data Governance:
      • Increasing data usage
      • Improving data quality
      • Identifying data lineage
      • Ensuring data protection
    • Modern approach to data governance: Focus on increasing data usage to drive support for data governance initiatives and gain value from data assets.
    • Data stewards:
      • Existing data stewards can provide insights on skills needed.
      • New data stewards can highlight their learning needs for success.
      • Data owners offer valuable perspectives on success.
    • Data Governance Literacy Program:
      • Start a backlog to track content for training.
      • Develop a checklist for desired content.
      • Break down work into smaller efforts and review with stakeholders.
      • Prioritize the backlog.
    • Disrupting Data Governance:
      • Increasing usage: Drive support for data governance by demonstrating value and increased utilization.
      • Improving quality: Boost trust by focusing on data quality efforts, as most organizations struggle with this.

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    SDS Midterm Review.pdf

    Description

    Explore the fundamentals of Spatial Data Science, a multidisciplinary field focused on understanding spatial information through geographic principles. This quiz covers various data types, the data science process, and the unique aspects of qualitative and quantitative data. Test your knowledge and enhance your understanding of this vital field.

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