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Fundamental spatial concepts

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  • What is space?

In the context of GIS, we normally use the term space to refer to geographic space: the structure and properties of the relationship between locations at the Earth's surface.

  • geometry: measurement of the Earth, provides a formal representation of the abstract properties and structures within a space

  • invariance: a group of transformations of space under which propositions remain true

  • primitive space: collections of objects with no other structure

Euclidean space: coordinatized model of space

  • enables measurements of distances and bearings between points
  • transforms spatial properties into properties of tuples of real numbers.
  • coordinate frame consists of a fixed origin and a pair of orthogonal lines (axes) intersecting in the origin
  • point
  • line
  • polygon
    • monotone chain
    • monotone polygon
    • triangulation
  • transformations
    • preserve particular properties of embedded objects
    • translations
    • rotation
    • reflection
  • topological invariants: properties that are preserved by topological transformations

Set-based geometry of space

  • elements: the constituent objects to be modeled
  • sets: collection of elements
  • membership: the relationship between the elements and the sets to which they belong

Topology of space:study of form

  • branch of geometry
  • concerns properties that are invariant under topological transformations
    • topological
      • an arc is simple
      • an area is connected
    • Non-topological
      • distance between two points
      • length of an arc
  • neighborhood: one way of defining a topological space
  • topology: the study of topological transformation and properties that are left invariant by them

Network spaces

  • to represent a system of roads or rail
  • graph: a set of unordered paris of distinct nodes
    • highly abstract
  • directed graph
  • labeled graph

Metric spaces

  • metric: a generalization of the Euclidean metric
  • distance function
    • Geodestic distance: e.g., the distance along the great circle of the Earth passing through the two city centers
    • Manhattan distance: the sum of the difference latitudes and longitudes.
    • Travel time distance: the minimum time required to travel from one city to the other
  • properties
    • sensible distances cannot be allowed to be negative
    • distance is symmetric, a->b = b->a
    • triangle inequality

Fractal geometry

  • scale dependence: appearance and characteristics of many geographic and natural phenomena depend on the scale at which they are observed
  • straight line adn smooth curves are not well suited to modeling self-similarity and scale dependence (why)
  • fractals: self-similar across all scales, fundamentally different types of geometry
    • defined recursively, rather than by describing their shape directly
    • dimensions: an indicator of shape complexity,
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