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Time series analysis and temporal modeling for geospatial data. Use when analyzing temporal patterns, forecasting spatial time series, detecting change points, or working with spatio-temporal datasets.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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| name | geo-infer-time |
| description | Time series analysis and temporal modeling for geospatial data. Use when analyzing temporal patterns, forecasting spatial time series, detecting change points, or working with spatio-temporal datasets. |
| prerequisites | {"required":["geo-infer-math"],"recommended":["geo-infer-data"]} |
| difficulty | intermediate |
| estimated_time | 45min |
| examples_dir | ../GEO-INFER-EXAMPLES/examples/ |
from geo_infer_time.core.time_series import TimeSeriesAnalyzer
from geo_infer_time.core.forecasting import Forecaster
from geo_infer_time.core.change_detection import ChangePointDetector
from geo_infer_time.core.time_series import TimeSeriesAnalyzer
analyzer = TimeSeriesAnalyzer(frequency="daily")
decomposition = analyzer.decompose(series, method="stl")
trend = decomposition.trend
seasonal = decomposition.seasonal
uv run python -m pytest GEO-INFER-TIME/tests/ -v