Vector Operations

Vector Operations involve querying data into a temporary layer, which can then be utilized.

Selection (Query)

  • single layer selection: select features based attributes or on spatial criteria such as:
    • adjacency
      • can be shared line required
      • can be shared line OR node required
    • overlap
    • containment
  • multilayer selection:
    • set algebra
    • boolean algebra
    • examples:
      • states north of Arkansas
      • states larger than 84k sq km
      • state both entirely north of Arkansas and larger than 84k sq km

Re-Classification

Binary Classification

If entities within a layer are either True or False (1 or 0)

Classification Schemes

Use the best classification scheme to illustrate the data.

  • equal interval
  • natural breaks
  • quantile

Dissolve Based on Attributes and Re-Classification

Combine like features on attributes.

  • Example 1:
    • Initial layer:
      • grain crops
      • orchards
      • residential
      • commercial
    • New Layer:
      • agricultural
      • non-agricultural
  • Example 2:
    • Initial layer:
      • states
    • Reclassificiation:
      • Binary into West or East of the Mississippi
    • New Layer:
      • E
      • W

MAUP and Dasymetric Mapping Example: use aggregation to examine different statistical distributions of