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ww_area_of_applicability()
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Calculate the ‘area of applicability’ of a model
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AOA
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H. Meyer and E. Pebesma. 2021. Predicting into unknown space? Estimating the area of applicability of spatial prediction models, Methods in Ecology and Evolution 12(9), pp 1620 - 1633, doi: 10.1111/2041-210X.13650.
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ww_multi_scale()
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Calculate model metrics for predictions aggregated to multiple levels
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Multi-scale assessment
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Riemann, R., Wilson, B. T., Lister, A., and Parks, S. (2010) An effective assessment protocol for continuous geospatial datasets of forest characteristics using USFS Forest Inventory and Analysis (FIA) data. Remote Sensing of Environment 114(10), pp 2337-2352, doi: 10.1016/j.rse.2010.05.010
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ww_global_moran_i() (plus _vec and _pvalue variants)
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Calculate Moran’s I
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Spatial yardstick metrics
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Moran, P.A.P. (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37(1/2), pp 17. doi: 10.2307/2332142; Cliff, A. D., Ord, J. K. 1981 Spatial processes, Pion, p. 17.
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ww_local_moran_i() (plus _vec and _pvalue variants)
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Calculate local Moran’s I (Anselin’s LISA)
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Spatial yardstick metrics
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Anselin, L. 1995. Local indicators of spatial association, Geographical Analysis, 27, pp 93–115. doi: 10.1111/j.1538-4632.1995.tb00338.x; Sokal, R. R, Oden, N. L. and Thomson, B. A. 1998. Local Spatial Autocorrelation in a Biological Model. Geographical Analysis, 30, pp 331–354. doi: 10.1111/j.1538-4632.1998.tb00406.x
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ww_global_geary_c() (plus _vec and _pvalue variants)
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Calculate Geary’s C
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Spatial yardstick metrics
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Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician. 5 (3): 115–145. doi: 10.2307/2986645; Cliff, A. D., Ord, J. K. 1981 Spatial processes, Pion, p. 17.
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ww_local_geary_c() (plus _vec and _pvalue variants)
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Calculate local Geary’s C
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Spatial yardstick metrics
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Anselin, L. 1995. Local indicators of spatial association, Geographical Analysis, 27, pp 93–115. doi: 10.1111/j.1538-4632.1995.tb00338.x; Anselin, L. 2019. A Local Indicator of Multivariate Spatial Association: Extending Geary’s C. Geographical Analysis, 51, pp 133-150. doi: 10.1111/gean.12164
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ww_local_getis_ord_g() (plus _vec and _pvalue variants)
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Calculate local Getis-Ord G and G*
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Spatial yardstick metrics
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Ord, J. K. and Getis, A. 1995. Local spatial autocorrelation statistics: distributional issues and an application. Geographical Analysis, 27, 286–306. doi: 10.1111/j.1538-4632.1995.tb00912.x
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ww_agreement_coefficient(), ww_systematic_agreement_coefficient(), ww_systematic_mpd(), ww_systematic_rmpd() (plus unsystematic and _vec variants)
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Calculate agreement coefficients and related metrics
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Yardstick metrics
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Ji, L. and Gallo, K. 2006. An Agreement Coefficient for Image Comparison. Photogrammetric Engineering & Remote Sensing 72(7), pp 823–833, doi: 10.14358/PERS.72.7.823.
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ww_willmott_d(), ww_willmott_dr(), ww_systematic_mse(), ww_systematic_rmse() (plus unsystematic and _vec variants)
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Calculate Willmott’s d and related metrics
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Yardstick metrics
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Willmott, C. J. 1981. On the Validation of Models. Physical Geography 2(2), pp 184-194, doi: 10.1080/02723646.1981.10642213; Willmott, C. J. 1982. Some Comments on the Evaluation of Model Performance. Bulletin of the American Meteorological Society 63(11), pp 1309-1313, doi: 10.1175/1520-0477(1982)063<1309:SCOTEO>2.0.CO;2; Willmott, C. J., Robeson, S. M., and Matsuura, K. A refined index of model performance. International Journal of Climatology 32, pp 2088-2094, doi: 10.1002/joc.2419
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