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Geospatial data in Optioneer - fundamentals

Introduction to the most important concepts such as: main definitions, Optioneer data flow, types of geospatial data

Adam Anyszewski avatar
Written by Adam Anyszewski
Updated over a week ago

Quick definitions of the most important concepts

  • Feature

    • Individual GIS feature within a data layer.

    • Examples: building, woodland, river etc.

  • Data layer

    • Collection of features that can be treated in the same way.

    • Examples: listed buildings, woodlands, single-track railways etc.

  • Dataset

    • Collection of related data layers, relevant to a specific aspect of optioneering.

    • Examples: existing infrastructure, environmental constraints, geology etc.

Optioneer geodata flow

Geospatial data is present at almost every step of using Optioneer. We summarised the most important steps below - with more detail included in specific articles throughout our documentation.

Types of data Optioneer can work with

The list of data below is just a structured list of examples, to make some of the technical terms more intuitive.

Vector data:

  • polygons:

    • constraints (features we prefer to avoid):

      • environmental constraints

        • woodlands, protected areas, reserves

        • surface water, flood zones

        • protected landscapes

      • man-made constraints:

        • buildings, urban areas, industrial sites

        • historical features, protected areas

        • hazardous and contaminated sites

      • parcels:

        • land owners, administrative boundaries

    • non-constraints (features that influence the route):

      • geology

      • soil quality

      • seabed sediment (for offshore)

  • lines:

    • linear features (which need being crossed):

      • man-made:

        • roads

        • railways

        • channels

        • utilities - cables, pipelines, transmission lines

      • natural:

        • rivers

        • streams

  • points:

    • points-of-interest:

      • man-made:

        • protected monuments

        • wrecks, dredging locations, UXO dumping locations (for offshore)

        • special purpose buildings or cultivation

      • environmental:

        • environmental objects

Please note: Optioneer doesn't natively support points and assumes that points will be buffered into polygons and ingested appropriately.

Raster data:

  • topography / bathymetry:

    • Digital Elevation Model

    • Slope

  • density maps:

    • human:

      • shipping & navigation density

      • population density

    • environmental:

      • fisheries

What Optioneer can and can't do with the data

Optioneer can:

  • Detect if an option is going through a layer.

    • Applies to both polygons and linear features; the latter is used to detect crossings.

    • Crossings will show in Optioneer App as icons plotted along the route. They are present both on the map and on the Vertical Profile Chart.

  • Provide the distance a route goes through the layer for.

    • Length through various layers is summarised as an Option Metric and can be viewed in the 'Analyse' screen.

  • See multiple, overlapping layers at any point.

    • The Vertical Profile Chart contains a visual summary of layers crossed along the route.

  • Determine how far the route is from the nearest feature in a layer.

    • Every point along the route measures distance to features surrounding it.

    • Vertical Profile Chart contains a visual summary of distance to feature within all layers used.

Optioneer can't:

  • Read any metadata of layers.

    • Optioneer only uses shapes of features, feature ID and name of a layer.

  • Act on layers which are not configured to be used in optioneering.

    • Simply put, if layers aren't configured, Optioneer treats them as neutral and largely ignores them.

    • These layer will still be visible in Optioneer app!

  • Detects route orientation with respect to geospatial features other than lines.

  • Understand what the layer actually is - it only relies on user input.

    • Optioneer is just a bit of smart AI algorithms and data analysis. Configuration from user is key.

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