|
ww_area_of_applicability()
|
Calculate the ‘area of applicability’ of a model
|
AOA
|
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.
|
|
ww_multi_scale()
|
Calculate model metrics for predictions aggregated to multiple levels
|
Multi-scale assessment
|
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
|
|
ww_global_moran_i() (plus _vec and _pvalue variants)
|
Calculate Moran’s I
|
Spatial yardstick metrics
|
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.
|
|
ww_local_moran_i() (plus _vec and _pvalue variants)
|
Calculate local Moran’s I (Anselin’s LISA)
|
Spatial yardstick metrics
|
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
|
|
ww_global_geary_c() (plus _vec and _pvalue variants)
|
Calculate Geary’s C
|
Spatial yardstick metrics
|
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.
|
|
ww_local_geary_c() (plus _vec and _pvalue variants)
|
Calculate local Geary’s C
|
Spatial yardstick metrics
|
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
|
|
ww_local_getis_ord_g() (plus _vec and _pvalue variants)
|
Calculate local Getis-Ord G and G*
|
Spatial yardstick metrics
|
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
|
|
ww_agreement_coefficient(), ww_systematic_agreement_coefficient(),
ww_systematic_mpd(), ww_systematic_rmpd() (plus unsystematic and _vec
variants)
|
Calculate agreement coefficients and related metrics
|
Yardstick metrics
|
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.
|
|
ww_willmott_d(), ww_willmott_dr(), ww_systematic_mse(),
ww_systematic_rmse() (plus unsystematic and _vec variants)
|
Calculate Willmott’s d and related metrics
|
Yardstick metrics
|
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
|
