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On the use of non-euclidean distance measures in geostatistics
Frank C. Curriero
Bloomberg School of Public Health
Research output
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Contribution to journal
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Article
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peer-review
62
Scopus citations
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Dive into the research topics of 'On the use of non-euclidean distance measures in geostatistics'. Together they form a unique fingerprint.
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Mathematics
Geostatistics
100%
Distance Measure
77%
Variogram
71%
Covariance Function
58%
Euclidean Distance
56%
Valid
37%
Spatial Data
22%
Metric
22%
Isometric Embedding
22%
Norm
20%
Demonstrate
20%
Proximity
17%
Concepts
17%
Water
16%
Straight Line
16%
Positive definite
15%
Class
14%
Choose
14%
Prediction
13%
Dependent
11%
Simulation
10%
Relationships
10%
Earth & Environmental Sciences
geostatistics
78%
norm
43%
parameter
23%
spatial data
21%
prediction
11%
simulation
9%
water
6%