GIS data sources, types and their projections for
environmental management
                       Outline
Types of GIS data
Sources of Data for Environmental management
                                    GIS Data Types
Geographic Data Types
1. Spatial Map Data – this is the location and shape of an object or feature.
2. Attribute Data – This is Descriptive data. It identifies what the map data is.
   • These are all considered non-spatial because by themselves they do not pinpoint a
     location.
   • It can be qualitative (nominal data) or quantitative (ordinal, interval or ratio data)
3. Image Data – satellite image, aerial photographs and scanned maps fall
    into this category
                      GIS Data Models/Formats
• Vector Data – (geo-objects) features are represented as Points, Lines,
  Polygons
• Raster Data – Store features on a grid or as pixels
                                Cont…
• Models are ways of storing geographic information in the GIS.
• By using data models we can represent the real world in a way that
 the computer can understand and do analysis that hold true to the
 real world.
• The two most common data models are Vector and Raster.
                                          Cont…
• Vector Data (Database oriented)
• Represents the world using points, lines and polygons, these are useful for storing
 data and representations of features such as buildings, trails and roads.
• Examples of vector data models are Shapefiles (Esri), Triangulated Irregular
 Networks (TINs) and AutoCAD (.dxf files).
• Points are non dimensional defined by x , y coordinates.
• Polygons are the enclosure of one or more lines
• Points and elevation = Line e.g. pole
• Lines and elevation = A vertical polygon e.g. a wall
• Polygon and elevation = A 3 dimensional feature e.g. volume
                                                  Cont…
Vectors are more database oriented and are very good at representing
  features such as rivers, boundaries and roads.
Advantages                                               Disadvantages
o Compact data structure                                  Complex data structure
o Suitable for cases where data must closely represent    Overlaying data is not simple
  hand drawn maps                                         It doesn’t represent data over surfaces
o Have an accurate advantage
                                                           well e.g. topography
o Good for storing data that need topological
  information – they can store information of how a
  feature connects to others e.g. road networks
o Good system for plotting data
Sources of vector data: GPS Surveys, manual digitizing, analyzed raster
                                            Cont…
Raster Data (Analysis oriented)
• This model uses grids to store map data.
• It creates a continuous surface defined by series of discrete grid cells.
• Each cell has a value that represents attribute data at that location.
• Cell size determines resolution.
• The smaller the cell size the better the resolution.
• For example a 50 meter Landsat image means that each cell is 50 meters on the ground.
• A smaller cell size means more details.
• Raster grids can analyze and retrieve data quickly.
• This is because the raster structure closely resembles that of a computer’s..
                                            Cont…
• The data is a continuous representation of a study area and is therefore suited to data that is
  continuous such as terrain, vegetation and natural resources.
 Advantages
• Overlaying easily done
• Variability is well represented
• Easy to understand
 Disadvantages
• Not a compact data structure/needs large space for storage
• Connective relationships are difficult to represent
• Blocky appearance
• Sources – User interpolation of vector data, commercially available
                                  Cont…
Metadata ‘..the who, what, when, where, how and why of the
 dataset’ - [raster data]
• Often referred to as “data about data”, metadata is a summary
 description of the data set it is included with.
• This includes notes on the content, quality, type, creation, condition,
 origin/ source organizations, data format, accuracy and spatial
 information about the dataset.
• It can be stored in any format such as database files or text format.
                                  GIS Data Sources
• GIS handles different data from different
  sources to produce new information
• Geospatial data acquired using different sources
• Common data sources:
    Paper maps,
    Existing digital data(web based and from
        other database system)
    Aerial photographs
    GPS (Global Positioning Systems)
    Surveying instruments, e.g. Total Station
    Imageries          from      Remote-sensing
        satellites/ Earth observation satellites
        and
    Laser Scanners, usually mounted in
        Aircrafts
    Drones and UAVs
Cont…
                                Cont…
• Earth observation data: most commonly used data sources
• Earth observation is gathering of information about the planet earth
• Earth observation satellites are satellites specifically designed to
  observe Earth from space
• Data from Earth observation satellites/ Remote sensing satellites are
  processed into images: remote sensing images, satellite imageries
  or satellite data
• Data collected using GPS can be imported in to a GIS system
• Global Positioning Systems (GPS) used for data collection and
  capture
• GPS is a space-based satellite navigation system that provides
  location and time information (uses WGS84 coordinate sytem)
                              Cont…
 GPS is one of the Global Navigation
  Satellite Systems (GNSS);
 Other GNSS include: GLONASS
  (Russia), Galileo(Europe), Beidou
  (China)
 Existing digital data are available in different formats
 Features extracted from satellite images using image
  processing techniques, already existing in different
  databases
 Most GIS databases created with data converted from paper
  maps/ Arial photo
 Digital maps, datasets and image data are available in the
  Internet, in different data portals, web based data, etc
   Cont…
Thank You