Hello. What is the best way to use a spatialpolygonsdataframe, with a numerical variable of interest for each polygon (proportion of households in poverty for US census tracts in the region of interest) as a predictor in ppm() in spatstat? I don't think I can use it directly on the RHS of ppm(), because spatialpolygonsdataframe is not listed in the help file for ppm() as an acceptable predictor. So is there a way to convert the census tract spatialpolygonsdataframe to an acceptable input object for ppm(), such as a pixel image with each pixel having the numerical value of poverty in its census tract polygon?
Or is there a better way to proceed? Thank you. Below is my sessionInfo --Chris Ryan Broome County Health Department, Binghamton, NY ================================= R version 3.3.3 (2017-03-06) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 7 x64 (build 7601) Service Pack 1 locale: [1] LC_COLLATE=English_United States.1252 [2] LC_CTYPE=English_United States.1252 [3] LC_MONETARY=English_United States.1252 [4] LC_NUMERIC=C [5] LC_TIME=English_United States.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] tmap_1.10 rgdal_1.2-6 RColorBrewer_1.1-2 maptools_0.9-2 [5] sp_1.2-4 spatstat_1.50-0 rpart_4.1-10 nlme_3.1-131 [9] shapefiles_0.7 foreign_0.8-67 stringr_1.2.0 dplyr_0.5.0 loaded via a namespace (and not attached): [1] viridisLite_0.2.0 jsonlite_1.4 splines_3.3.3 [4] geojsonlint_0.2.0 foreach_1.4.3 R.utils_2.5.0 [7] gtools_3.5.0 shiny_1.0.5 assertthat_0.2.0 [10] expm_0.999-2 stats4_3.3.3 LearnBayes_2.15 [13] lattice_0.20-35 digest_0.6.12 polyclip_1.6-1 [16] colorspace_1.3-2 plyr_1.8.4 htmltools_0.3.5 [19] httpuv_1.3.5 Matrix_1.2-8 R.oo_1.21.0 [22] XML_3.98-1.9 rmapshaper_0.3.0 raster_2.5-8 [25] gmodels_2.16.2 xtable_1.8-2 webshot_0.4.1 [28] scales_0.4.1 gdata_2.17.0 tensor_1.5 [31] satellite_1.0.0 spatstat.utils_1.4-1 tibble_1.3.0 [34] mgcv_1.8-17 gdalUtils_2.0.1.7 mapview_2.1.4 [37] magrittr_1.5 mime_0.5 deldir_0.1-12 [40] R.methodsS3_1.7.1 MASS_7.3-45 class_7.3-14 [43] tools_3.3.3 geosphere_1.5-5 V8_1.5 [46] munsell_0.4.3 compiler_3.3.3 e1071_1.6-8 [49] units_0.4-5 classInt_0.1-24 grid_3.3.3 [52] tmaptools_1.2-1 RCurl_1.95-4.8 dichromat_2.0-0 [55] iterators_1.0.8 htmlwidgets_0.8 goftest_1.1-1 [58] crosstalk_1.0.0 bitops_1.0-6 base64enc_0.1-3 [61] boot_1.3-18 codetools_0.2-15 abind_1.4-5 [64] DBI_0.6-1 jsonvalidate_1.0.0 curl_2.5 [67] R6_2.2.0 udunits2_0.13 rgeos_0.3-23 [70] spdep_0.6-12 KernSmooth_2.23-15 stringi_1.1.5 [73] osmar_1.1-7 Rcpp_0.12.10 sf_0.5-3 [76] png_0.1-7 leaflet_1.1.0 coda_0.19-1 > --- This email has been checked for viruses by AVG. http://www.avg.com _______________________________________________ R-sig-Geo mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-geo
