Geography

Subdecks (1)

Cards (49)

  • GIS Concepts:
    • GIS stands for Geographic Information Systems
    • GIS is a computer system that captures, stores, checks, and displays data related to positions on the Earth's surface
    • GIS uses programs that capture data from sources like remote sensing or statistics
    • GIS allows for data storage, checking, display, and layering for analysis
    • GIS integrates information from various sources to make informed decisions
  • Remote Sensing:
    • Remote sensing is getting information about the Earth's surface from a vertical distance
    • Examples of remote sensing methods include satellites, airplanes, and hot-air balloons
  • Pixel:
    • A pixel is the smallest unit of a digital image or graphic that can be displayed on a digital device
    • Pixels come together to form images, and the more pixels there are, the clearer the image
  • Resolution:
    • Resolution refers to the clarity of an image, determined by the size and number of pixels
    • Higher resolution results in clearer images with more detail
  • Spatial Resolution:
    • Spatial resolution refers to the detail of an image determined by the size and number of pixels
    • Higher spatial resolution provides more detailed images with finer details
  • Spatial Data:
    • Spatial data provides information about the location and shapes of features
    • It includes coordinates and spatial references to pinpoint exact locations
  • Attribute Data:
    • Attribute data gives further descriptive information about features in addition to their location
    • It includes descriptive data like temperature, land use, or other characteristics
  • Spatial Objects:
    • Spatial objects include points, lines, and polygons used to represent features on maps
    • Points represent specific locations, lines represent linear features, and polygons represent enclosed areas
  • Vector Data:
    • Vector data represents geographic features using points, lines, and polygons
    • It is used in topographic maps to show features like roads, rivers, and land use
  • Raster Data:
    • Raster data represents geographic features using rectangular grid cells or pixels
    • It is used in image-based maps like aerial photographs to display features
  • Data Layering:
    • Data layering involves placing different data layers on top of one another for analysis
    • Different data layers, such as land use, infrastructure, and vegetation, are combined to create comprehensive maps like topographic maps
  • Data Integration:
    • Data integration refers to combining two or more data layers for analysis
    • It involves merging different datasets to create a unified view for decision-making
  • Data integration involves combining layers of information to make it more useful
  • Data living is one type of data integration
  • Examples of data sources for GIS include satellite data, digital data, dust data, tables, digital maps
  • Data integration can be used to determine statistics like crime rates in an area
  • The five components of GIS are hardware, software, data, people, organizations
  • GIS is a process and methods that involve these components
  • GIS can be done using GIS software if hardware is not available
  • GIS software is necessary to be used with hardware
  • Information and statistics are essential data for GIS
  • Methods like data layering and data integration are crucial for GIS
  • Data manipulation involves processing and converting data to make it easier to use
  • Correcting distortions and sharpening definitions of images is an example of data manipulation
  • Data manipulation involves changing data to make it more useful and easier to interpret
  • Buffering is the demarcation of an area around a feature or location to set limitations
  • Buffering can be done around lines, points, or polygons to define specific areas
  • Querying in GIS involves asking and answering questions about geographic features and their attributes
  • Queries help in analyzing relationships between different geographic features
  • Statistical analysis in GIS is interpreting statistics in relation to a query to understand patterns that may not be obvious from a map
  • Statistical analysis involves analyzing figures and data to draw conclusions about geographic features
  • Data standardization is transforming variables into a more analytical and useful form for easier interchangeability
  • Standardizing data involves making different symbols or representations uniform for better analysis
  • Data sharing in GIS allows others to use spatial and non-spatial data for various purposes
  • Cloud systems enable data sharing over the internet for collaborative projects
  • Data security in GIS refers to restricting data availability to specific individuals or organizations
  • Data security involves protecting data through codes or biometric measures to control access
  • Paper GIS involves creating a map using physical layers of data to analyze geographic features
  • Paper GIS is a practical application of GIS concepts using physical representations of data
  • GIS is a useful tool for various applications like determining suitable locations for factories or analyzing geographic patterns