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Spatial accuracy refers to the degree of precision or correctness with which a location or position on the Earth's surface is represented or measured in geographic information systems (GIS), cartography, remote sensing, and other spatial technologies. It is a critical aspect of spatial data and analysis, and it can have significant implications for decision-making, navigationanalysis, and various applications.
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A general guide to accuracies is as follows.
For 3D relief data captured using |
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LiDAR | 0.45 metres/horizontal and 0.15 metres/vertical |
For 2D/3D data captured using photogrammetry at 1:25 |
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000 | 2.5 metres/horizontal and 1 metre/ |
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vertical |
For 2D/3D data captured using photogrammetry at 1:100 |
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000 | 5 metres/horizontal and 2 metres/vertical. |
For 2D/3D data digitised from mapping at 1:25 |
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000 | 12.5 metres/horizontal and 2.5 metres/vertical |
For 2D data digitised from mapping at 1:100 |
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000 | 25 metres/horizontal. |
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For 2D data digitised from mapping at 1:100 |
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000 | 100 metres/horizontal. |
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For 2D data obtained from GPS |
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readings | 1 metre/ |
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horizontal |
For 2D data digitised from recent |
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orthophotography | 2.5 metres/horizontal |
For 2D data digitised from satellite |
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imagery | 2.5 metres - 10 metres/horizontal |
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Completeness
Completeness refers to the extent to which a spatial dataset contains all the necessary and relevant information about a geographic area or a specific phenomenon. It is a crucial quality characteristic of spatial data and can significantly impact the utility and accuracy of geographic information systems (GIS) and spatial analyses. Incomplete spatial data can lead to misinterpretations and incorrect conclusions.
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A program of maintenance and upgrade of the spatial data is continually an ongoing programtask. The program aims to improve the topological consistency and currency of the legacy data captured over a 30-year period. Previously this data was cleaned to a standard suitable for manual mapping processes only and not to the standard required for automated mapping or spatial analysis. Data will be cleaned to:
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