diff --git a/Boreal_LBMRDataPrep.R b/Boreal_LBMRDataPrep.R
index f5384d6..23d09e3 100644
--- a/Boreal_LBMRDataPrep.R
+++ b/Boreal_LBMRDataPrep.R
@@ -151,18 +151,12 @@ estimateParameters <- function(sim) {
 
   message("ecoregionProducer: ", Sys.time())
   # Note: this ecoregionMap is NOT the Canadian EcoRegion -- it is for LBMR, which uses "ecoregion"
-  ecoregionMap <- Cache( postProcess, sim$ecoDistrict,
-                         studyArea = sim$shpStudyArea)
+  ecoregionMap <- Cache(postProcess, sim$ecoDistrict, studyArea = sim$shpStudyArea, filename2 = NULL)
   ecoregionFiles <- Cache(ecoregionProducer,
-                          #studyAreaRaster = initialCommFiles$initialCommunityMap,
-                          #ecoregionMapFull = sim$ecoDistrict,
                           ecoregionMap = ecoregionMap,
                           ecoregionName = "ECODISTRIC",
                           ecoregionActiveStatus = ecoregionstatus,
                           rasterToMatch = initialCommFiles$initialCommunityMap, #sim$rasterToMatch,
-                          #studyArea = sim$studyArea,
-                          #rstStudyArea = rstStudyRegionBinary,
-                          #maskFn = fastMask,
                           userTags = "stable")
 
   message("3: ", Sys.time())
diff --git a/R/ecoregionProducers.R b/R/ecoregionProducers.R
index 4289de1..3d60439 100644
--- a/R/ecoregionProducers.R
+++ b/R/ecoregionProducers.R
@@ -11,8 +11,10 @@ ecoregionProducer <- function(ecoregionMap, ecoregionName,
 
   ecoregionFactorValues <- na.omit(unique(ecoregionMap[]))
 
-  ecoregionTable <- data.table(mapcode = seq_along(ecoregionFactorValues[!is.na(ecoregionFactorValues)]),
-                               ecoregion = as.numeric(ecoregionFactorValues[!is.na(ecoregionFactorValues)]))
+  ecoregionTable <- data.table(
+    mapcode = seq_along(ecoregionFactorValues[!is.na(ecoregionFactorValues)]),
+    ecoregion = as.numeric(ecoregionFactorValues[!is.na(ecoregionFactorValues)])
+  )
   message("ecoregionProducer mapvalues: ", Sys.time())
   ecoregionMap[] <- plyr::mapvalues(ecoregionMap[], from = ecoregionTable$ecoregion, to = ecoregionTable$mapcode)
   ecoregionActiveStatus[, ecoregion := as.character(ecoregion)]
@@ -21,7 +23,7 @@ ecoregionProducer <- function(ecoregionMap, ecoregionName,
   ecoregionTable <- dplyr::left_join(ecoregionTable,
                                      ecoregionActiveStatus,
                                      by = "ecoregion") %>%
-    data.table
+    data.table()
   ecoregionTable[is.na(active), active := "no"]
   ecoregionTable <- ecoregionTable[,.(active, mapcode, ecoregion)]
   return(list(ecoregionMap = ecoregionMap,