Exame GIS
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Questions and Answers

Which of the following is an advantage of vector data in GIS?

  • Relatively large storage requirement
  • Ability to handle multiple attributes for each object (correct)
  • Can store continuous surface data
  • Lack of topology
  • Raster data is capable of representing fuzzy objects.

    True

    Name two disadvantages of using raster data in GIS.

    Limited precision and its large file size

    A key advantage of using a secant map projection over a tangential projection is that it _______ projection distortion.

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

    Match the following GIS methods to their appropriate characteristics:

    <p>Raster = Large storage requirements Vector = Well-defined topology</p> Signup and view all the answers

    What does a local ellipsoid approximate in relation to the geoid?

    <p>The local curvature of the geoid</p> Signup and view all the answers

    What is a spatiotemporal scenario in GIS?

    <p>Spatial change over time</p> Signup and view all the answers

    Vector data is incapable of representing continuous phenomena.

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

    What is a primary advantage of network RTK over single-station RTK?

    <p>Provides spatially varying compensation for positional errors</p> Signup and view all the answers

    SWEPOS is a global network of positional reference stations.

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

    Explain the role of GPS satellites in single-station RTK.

    <p>GPS satellites provide positional data in conjunction with a GPS transmitter at a known reference position.</p> Signup and view all the answers

    A _____ map uses polygons to represent data with constant attribute values.

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

    Match the following with their respective definitions:

    <p>Choropleth Map = A map using polygons to show attribute values Multivariate Representation = Symbols carrying multiple attribute values Cartogram = A map that distorts area or distance for specific objectives</p> Signup and view all the answers

    Which of the following is an example of a passive sensor?

    <p>Digital cameras</p> Signup and view all the answers

    Active sensors, like radar, emit their own signals to collect data.

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

    What is the significance of ionic activity in network RTK?

    <p>Ionic activity is a source of atmospheric positional error that network RTK aims to compensate for.</p> Signup and view all the answers

    What is the primary purpose of secant projections in cartography?

    <p>Reduce distortion by allowing the paper to cut through the surface</p> Signup and view all the answers

    In a tangential projection, the paper touches the Earth along two meridians.

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

    What geographic features does a typical 1:50,000 terrain map include?

    <p>Land-cover, topography, infrastructures, urban structure, hydrology</p> Signup and view all the answers

    The referential skeleton of a terrain map in non-arid regions typically includes features like _____ and urban structures.

    <p>water bodies</p> Signup and view all the answers

    Match the following map types with their characteristics:

    <p>Terrain map = Contains land-cover and topography Topographic map = Displays elevation and contour lines General map = Overview of a large area without detailed features Thematic map = Focuses on specific themes like population or climate</p> Signup and view all the answers

    What happens to the scale in a secant projection compared to the tangent meridian?

    <p>It can be less than, equal to, or greater than 1:1</p> Signup and view all the answers

    The central meridian in a secant projection coincides with the tangent meridian.

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

    The average projection error is _____ in secant projections compared to tangential projections.

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

    Study Notes

    Geographic Problems in GIS

    • Geographic problems involve location, either in the information or the solution itself.
    • Examples include forest management, precision farming, and navigation.
    • Categorizing geographic problems is important due to their wide variety.

    Methods for Categorizing Geographic Problems

    • Scale: Defines the level of detail, including micro (e.g., crystalline structures), local (cities), regional (wide-spread epidemics), and global (pandemics).
    • Intent/Purpose: Categorization based on goals. Examples include practical/urgent needs (emergency, money), and curiosity-driven investigations (continental plate movement).
    • Time-Scale: Categorization based on the timeframe of the problem. Examples include operational tasks (everyday organizational functions), tactical planning (short-term plans), and strategic goals (long-term objectives).

    Geographic Data (Datum)

    • A datum contains a geographic position and its associated attribute value.
    • A geodetic datum defines the position, and an attribute defines the associated descriptive property.
    • Geographic attributes are classified in relation to their scale type.

    Geographic Data Representation

    • Raster: Information is regulated by pixel size.
    • Vector: Information is regulated by the number of points an object is given.

    Simplifying Geographic Reality

    • Tessellation (Spatial Averaging): Simplifies reality by deciding pixel (density) size. More detail increases the number of pixels, while less detail decreases the number of pixels.
    • Constant-Value: Simplifies large areas with similar attributes into a single value; e.g., the entire ocean could be given one value as the majority of an attribute is constant.

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    Description

    This quiz explores the categorization of geographic problems in Geographic Information Systems (GIS). It covers various methods to categorize these issues, including scale, intent, and time-scale. Additionally, it highlights the significance of geographic data in solving complex spatial challenges.

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