Fix README

README.md

@@ -2,49 +2,33 @@
 
 Understanding species responses to urbanization is key for gaining insights into 
 the ecology and management of wildlife in these rapidly expanding environments. 
-Survival is a critical process linking individual level responses to larger scale 
-dynamics impacting population persistence. Importantly, the resources and risks
+Survival is a critical process linking individual-level responses to broader-scale 
+dynamics important for population persistence. Notably, the resources and risks
 affecting survival in urban wildlife are in large part shaped by aspects of the 
 human social system which influence the distribution of resources like green space
-and risks including vehicles and pollutants. We explored the effects of social 
+and risks like pollutants. I explored the effects of social 
 and environmental characteristics on survival in urban coyotes - a species of 
-particular management interest due to occasional attacks on domestic animals
-and less frequently, humans. 
+particular management interest due to their conflicts with domestic animals and,
+less frequently, humans.
 
-We used data from VHF-collared coyotes. The social and environmental characteristics
-experienced by the animals were determined using a landscape raster containing
-geospatial data on the variables of interest (raster code: 
-https://github.com/zepedae/social-environmental-raster.git). The locations
-characteristics were extracted using the raster package, averaged within individuals,
-and then used as predictors in a Cox proportiona hazards model.
+Using location data from radiocollared coyotes captured as pups and tracked as adults, I estimated
+the effect of natural and disturbed habitat availability, median income, and human population density
+on their survival time. Each location's characteristics were extracted using a geospatial raster (https://github.com/zepedae/social-environmental-raster.git) and the *raster* package, averaged within individuals, and then used as predictors in a Cox proportiona hazards model.
 
 Two models were constructed. The local model uses data from the coyote's last 6 months
-of life whereas the global model uses the entire set of locations. 
+of life and the global model uses the animal's entire set of locations. 
 
 
 
 ### Files
-<<<<<<< Updated upstream
 Data used in this study are the property of the Urban Coyote Research Project
 and cannot be shared here. Below are descriptions of each file for those
-looking to recreate the analysis with their own data.
+interested in recreating the analysis with their own data.
 
-* mortality.csv: contains data on the approximate date of death for coyotes 
-||||||| Stash base
-Data used in this study is the property of the Urban Coyote Research Project
-and cannot be shared here. Below are descriptions of each file for those
-looking to recreate the analysis with their own data.
-
-* mortality.csv: contains data on the approximate date of death for coyotes 
-=======
-I do not have authorization to share the data used in the analysis; however,
-I describe their contents below in case you want to recreate the analysis with
-your own data.
-~ mortality.csv: contains data on the approximate date of death for coyotes 
->>>>>>> Stashed changes
+- "mortality.csv": contains data on the approximate date of death for coyotes
 recovered postmortem
-~ parent_pup_ids: approximate birth date and RFID of individuals who were 
+- "parent_pup_ids": approximate birth date and RFID of individuals who were 
 captured as pups
-~ utm1.csv, utm2.csv: contains the UTM coordinates, date, and time of locations
+- "utm1.csv", "utm2.csv": contains the UTM coordinates, date, and time of locations
 collected from VHF collared animals
-~ finalRaster524.grd: a file containing geospatial social and environmental data
+- "finalRaster524.grd": a file containing geospatial social and environmental data