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Ptolemy's Error: Truths and falsehoods in heterogeneous spatial data Leif Isaksen Oxford Archaeology

Ptolemy's Error: Truths and falsehoods in heterogeneous spatial data

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Leif Isaksen Oxford Archaeology. Ptolemy's Error: Truths and falsehoods in heterogeneous spatial data. Ptolemy's World Map. Spatial or textual Data and representation separate – catalogue and instructions Much less potential for error (perhaps) ‏ But what about his data quality?. - PowerPoint PPT Presentation

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Page 1: Ptolemy's Error: Truths and falsehoods in  heterogeneous spatial data

Ptolemy's Error:Truths and falsehoods in

heterogeneous spatial data

Leif IsaksenOxford Archaeology

Page 2: Ptolemy's Error: Truths and falsehoods in  heterogeneous spatial data

Ptolemy's World Map

Spatial or textual Data and

representation separate – catalogue and instructions

Much less potential for error (perhaps)

But what about his data quality?

Page 3: Ptolemy's Error: Truths and falsehoods in  heterogeneous spatial data

Ptolemy's Error

Uses 12ths of a degree

But distribution uneven

We know that the source data has varying precision

Problem – we don't know which.

Page 4: Ptolemy's Error: Truths and falsehoods in  heterogeneous spatial data

Cautionary Tales

Misconception of point/area data even at standards level

Part of the problem is an oversimplified division – points/lines/polygons or vector vs. raster.

TQ125127

TQ1212

Page 5: Ptolemy's Error: Truths and falsehoods in  heterogeneous spatial data

The Nature of Historic Mapping

Core Components Spatial Framework Entities (points/lines/polygons/cells)

Maps of the Past Descriptive Data underdetermines basis of compilation

Truth-standard can be defined as several 'facets' Strong and weak form Simple schema

Page 6: Ptolemy's Error: Truths and falsehoods in  heterogeneous spatial data

The Categories

Incomplete vs. Complete

Fuzzy vs. Hard

Durée vs. Snapshot

Marker vs. Depiction

Observed vs. Derived

Page 7: Ptolemy's Error: Truths and falsehoods in  heterogeneous spatial data

Incomplete vs. Complete

Incomplete F iff non-existent entity represented

Complete F iff non-existent entity represented or existent

entity represented Notes

Even vs. Uneven as special case

Page 8: Ptolemy's Error: Truths and falsehoods in  heterogeneous spatial data

Fuzzy vs. Hard

Fuzzy Vagueness or Imprecision Vagueness F iff entities which can only be one

category are represented as another Imprecision F iff entity represented outwith

boundary of that imprecision Hard

F iff entity incorrectly categorised, or boundary condition doesn't hold

Page 9: Ptolemy's Error: Truths and falsehoods in  heterogeneous spatial data

Durée vs. Snapshot

Durée F iff not all entities exist within a specified timeframe

Snapshot F iff not all entities are temporally coexistent at

specified timepoint Notes

Maps of the present are special case of Snapshots

Page 10: Ptolemy's Error: Truths and falsehoods in  heterogeneous spatial data

Marker vs. Depiction

Marker F iff Marker location inaccurate with reference to

spatial framework Depiction

F iff location inaccurate or entity's and object's spatial features don't coincide

Page 11: Ptolemy's Error: Truths and falsehoods in  heterogeneous spatial data

Observed vs. Derived

Observed F iff entity does not correspond to real object

Derived F iff output doesn't correspond to:

function(basedata) Notes

For Derived to have meaning, both function and basedata need to be referenced.

Page 12: Ptolemy's Error: Truths and falsehoods in  heterogeneous spatial data

Questions

Theoretical Are these facets orthogonal? Periodic table - Are all combinations permissible? Interoperability - Are all combinations of

combinations useful? Practical

How can we make these facets transparent? What potential might they have for supporting data

management? Hard cases?