mufasa-fusion
Node Catalog#
Flow Data Models#
Spatially discrete detection, represented by a
geometry, that occurred at sometimestamp.
Probabilistic spatially discrete detection, adding a
confidenceestimate.
Spatially distributed detection, rasterized to a geo-referenced
dataarray, at sometimestamp.
Map subtype that stores
datain log-odds space.
Processing Nodes#
- → /
Detect connected regions in a Map or BayesianMap.
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Fuse two or more BayesianMaps by summing their log-odds.
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Logical AND in log-odds space: element-wise minimum across inputs.
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Logical OR in log-odds space: element-wise maximum across inputs.
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Base for fusion nodes that combine BayesianMaps element-wise.
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Probability Occupancy Map: Bayesian log-odds accumulation with exponential decay.
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Base class for all pipeline nodes.
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Base class for all pipeline nodes.
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Pass-through node that drops Observations not matching the specified criteria.
Input Nodes#
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Loads Observations or Locations from a GeoJSON file.
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Loads a single-band GeoTIFF file as a Map.
- / [1] → /
Base for all pipeline input nodes. Has no predecessor inputs.
- [1] →
Base for all pipeline input nodes. Has no predecessor inputs.
- [1] →
Streaming input for Location objects.
- [1] →
Streaming input for Location objects.
- [1] →
Streaming input for Map objects.
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Source node: load a BayesianMap from a GeoJSON file at configure() time.
Output Nodes#
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Writes collected Observations or Locations to a GeoJSON file (WGS84).
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Base for all pipeline output nodes. Has no output type.
- → [2]
Collects Observations or Locations in a list.
- → [2]
Base for all pipeline output nodes. Has no output type.
- → [2]
Output node that delivers each result to a callable.
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Output node that collects Map snapshots and Locations for inspection.
References