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IoT sensor data ingestion and real-time streaming for geospatial monitoring. Use when connecting to MQTT brokers, processing sensor streams, validating spatial sensor data quality, or building real-time geospatial monitoring pipelines.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Geospatial Active Inference framework with 44 modules for ecological, civic, and commercial spatial analysis. Use when working with geospatial data, Active Inference, Bayesian modeling, H3 hexagonal indexing, spatial statistics, or any domain-specific geographic analysis (agriculture, health, economics, risk, climate, energy, transport, marine, forestry, water).
Statistical Parametric Mapping for geospatial data. Use when performing GLM-based spatial analysis, random field theory corrections, cluster-level inference, or neuroimaging-style statistical mapping on geographic datasets.
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H3 hexagonal spatial indexing and multi-backend spatial operations. Use when working with H3 cells, spatial indexing, coordinate systems, raster/vector operations, or any spatial backend dispatch (H3, SRAI, PostGIS).
Unified test runner and testing infrastructure for the GEO-INFER ecosystem. Use when running cross-module tests, configuring test categories, setting up test fixtures for spatial data, or analyzing test results.
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| name | geo-infer-iot |
| description | IoT sensor data ingestion and real-time streaming for geospatial monitoring. Use when connecting to MQTT brokers, processing sensor streams, validating spatial sensor data quality, or building real-time geospatial monitoring pipelines. |
| prerequisites | {"required":["geo-infer-data","geo-infer-time"],"recommended":["geo-infer-space"]} |
| difficulty | intermediate |
| estimated_time | 45min |
| examples_dir | ../GEO-INFER-EXAMPLES/examples/ |
from geo_infer_iot.core.ingestion import MQTTIngestionEngine
from geo_infer_iot.core.quality_control import SpatialQualityChecker
from geo_infer_iot.core.device_management import DeviceRegistry
from geo_infer_iot.core.ingestion import MQTTIngestionEngine
engine = MQTTIngestionEngine(broker="mqtt.example.com", port=1883)
engine.subscribe("sensors/temperature/#")
@engine.on_message
def handle_temperature(topic, payload):
lat, lng = payload["location"]
temp = payload["value"]
print(f"Sensor at ({lat}, {lng}): {temp}°C")
engine.start()
from geo_infer_iot.core.quality_control import SpatialQualityChecker
checker = SpatialQualityChecker(bounds=(-90, -180, 90, 180))
clean_data = checker.validate(raw_readings)
print(f"Passed: {len(clean_data.valid)}, Rejected: {len(clean_data.outliers)}")
try/except with lightweight fallback adapters for graceful degradationuv run python -m pytest GEO-INFER-IOT/tests/ -v