KOPSS API 구현 중 공간통계 분석기법을 공부하기 위한 샘플 데이터셋입니다.
▣ Sample Dataset
- Point Data : seoul_bp_apt
- Area Data : seoul_hexagon_500(반경 500m), seoul_hexagon_1000(반경 1km) hexagonal grid dataset
: EVE_CNT Field 는 Area 내 포함된 Point의 갯수
- Sample Dataset: spatialstatistics_sampledata.zip
▣ Thematic Map
▣ Average Nearest Neighbor
|| Average Nearest Neighbor Summary
|| Observed Mean Distance: 155.993804
|| Expected Mean Distance: 234.477308
|| Nearest Neighbor Ratio: 0.665283
|| Z Score: -33.640542
|| p-value: 0.000000
▣ High/Low Clustering (Getis-Ord General G)
|| General G Summary
|| Observed General G : 0.000019
|| Expected General G : 0.000011
|| Variance : 0
|| Z Score : 13.834027
|| p-value : 0
▣ Spatial Autocorrelation (Global Moran's I)
|| Global Moran's I Summary
|| Moran's Index : 0.414923
|| Expected Index : -0.003636
|| Variance : 0.00131
|| Z Score : 11.566211
|| p-value : 0
▣ Hot Spot Analysis (Getis-Ord Gi*)
▣ Cluster and Outlier Analysis (Anselin Local Moran's I)
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