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Merge pull request #100 from renanxcortes/spatial_indexes_tweaks
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Generalize also for haversine distance
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renanxcortes authored Jul 9, 2019
2 parents 69fa80f + 9489831 commit 1c35c3c
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56 changes: 28 additions & 28 deletions README.md
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Expand Up @@ -116,34 +116,34 @@ like for example Detroit MI (left) and Monroe LA (right):
For point estimation, all single-group indices available are summarized in the following
table:

| **Measure** | **Class/Function** | **Spatial?** | **Specific Arguments** |
|:--------------------------------------------------|:--------------------------------|:------------:|:----------------------:|
| Dissimilarity (D) | Dissim | No | - |
| Gini (G) | GiniSeg | No | - |
| Entropy (H) | Entropy | No | - |
| Isolation (xPx) | Isolation | No | - |
| Exposure (xPy) | Exposure | No | - |
| Atkinson (A) | Atkinson | No | b |
| Correlation Ratio (V) | CorrelationR | No | - |
| Concentration Profile (R) | ConProf | No | m |
| Modified Dissimilarity (Dct) | ModifiedDissim | No | iterations |
| Modified Gini (Gct) | ModifiedGiniSeg | No | iterations |
| Bias-Corrected Dissimilarity (Dbc) | BiasCorrectedDissim | No | B |
| Density-Corrected Dissimilarity (Ddc) | DensityCorrectedDissim | No | xtol |
| Spatial Proximity Profile (SPP) | SpatialProxProf | Yes | m |
| Spatial Dissimilarity (SD) | SpatialDissim | Yes | w, standardize |
| Boundary Spatial Dissimilarity (BSD) | BoundarySpatialDissim | Yes | standardize |
| Perimeter Area Ratio Spatial Dissimilarity (PARD) | PerimeterAreaRatioSpatialDissim | Yes | standardize |
| Distance Decay Isolation (DDxPx) | DistanceDecayIsolation | Yes | alpha, beta |
| Distance Decay Exposure (DDxPy) | DistanceDecayExposure | Yes | alpha, beta |
| Spatial Proximity (SP) | SpatialProximity | Yes | alpha, beta |
| Absolute Clustering (ACL) | AbsoluteClustering | Yes | alpha, beta |
| Relative Clustering (RCL) | RelativeClustering | Yes | alpha, beta |
| Delta (DEL) | Delta | Yes | - |
| Absolute Concentration (ACO) | AbsoluteConcentration | Yes | - |
| Relative Concentration (RCO) | RelativeConcentration | Yes | - |
| Absolute Centralization (ACE) | AbsoluteCentralization | Yes | - |
| Relative Centralization (RCE) | RelativeCentralization | Yes | - |
| **Measure** | **Class/Function** | **Spatial?** | **Specific Arguments** |
|:--------------------------------------------------|:--------------------------------|:------------:|:-----------------------------: |
| Dissimilarity (D) | Dissim | No | - |
| Gini (G) | GiniSeg | No | - |
| Entropy (H) | Entropy | No | - |
| Isolation (xPx) | Isolation | No | - |
| Exposure (xPy) | Exposure | No | - |
| Atkinson (A) | Atkinson | No | b |
| Correlation Ratio (V) | CorrelationR | No | - |
| Concentration Profile (R) | ConProf | No | m |
| Modified Dissimilarity (Dct) | ModifiedDissim | No | iterations |
| Modified Gini (Gct) | ModifiedGiniSeg | No | iterations |
| Bias-Corrected Dissimilarity (Dbc) | BiasCorrectedDissim | No | B |
| Density-Corrected Dissimilarity (Ddc) | DensityCorrectedDissim | No | xtol |
| Spatial Proximity Profile (SPP) | SpatialProxProf | Yes | m |
| Spatial Dissimilarity (SD) | SpatialDissim | Yes | w, standardize |
| Boundary Spatial Dissimilarity (BSD) | BoundarySpatialDissim | Yes | standardize |
| Perimeter Area Ratio Spatial Dissimilarity (PARD) | PerimeterAreaRatioSpatialDissim | Yes | standardize |
| Distance Decay Isolation (DDxPx) | DistanceDecayIsolation | Yes | alpha, beta, metric |
| Distance Decay Exposure (DDxPy) | DistanceDecayExposure | Yes | alpha, beta, metric |
| Spatial Proximity (SP) | SpatialProximity | Yes | alpha, beta, metric |
| Absolute Clustering (ACL) | AbsoluteClustering | Yes | alpha, beta, metric |
| Relative Clustering (RCL) | RelativeClustering | Yes | alpha, beta, metric |
| Delta (DEL) | Delta | Yes | - |
| Absolute Concentration (ACO) | AbsoluteConcentration | Yes | - |
| Relative Concentration (RCO) | RelativeConcentration | Yes | - |
| Absolute Centralization (ACE) | AbsoluteCentralization | Yes | - |
| Relative Centralization (RCE) | RelativeCentralization | Yes | - |

### Multigroup measures

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