654 reputation
519
bio website
location Philadelphia, PA
age
visits member for 2 years, 2 months
seen Aug 7 at 11:53

I am an MD/PhD candidate at U. Penn. (Perelman School of Medicine and the Wharton School) studying health economics. I have a particular interest in computer-intensive statistical methods and bringing state-of-the-art methods to applied problems. I also teach the Statistical Programming Workshop series for incoming doctoral students.


Sep
24
awarded  Autobiographer
Aug
18
awarded  Yearling
Jul
2
awarded  Curious
Jun
23
awarded  Popular Question
Jun
2
awarded  Notable Question
Mar
21
awarded  Popular Question
Feb
18
comment Where to get 2010 Census Block data?
And...months later....
Jan
16
awarded  Nice Answer
Jan
8
comment Is there a way to speed up gIntersections for large spatial objects?
Thanks for coming back to confirm what worked. I posted my comment as an answer since it seemed to work.
Jan
8
answered Is there a way to speed up gIntersections for large spatial objects?
Dec
24
comment Where to get 2010 Census Block data?
And...weeks later, still "performing system maintenance."
Dec
20
awarded  Notable Question
Nov
27
accepted Equidistant projection for northern Delaware
Nov
27
comment Equidistant projection for northern Delaware
In conjunction with @Vince's comment, this seems like the best solution. Thanks!
Nov
27
asked Equidistant projection for northern Delaware
Nov
27
comment R for loops in Geospatial modelling environment
Please edit your question with the code--what you posted in the comment is unreadable....
Nov
27
comment R for loops in Geospatial modelling environment
If this is supposed to be R code, you have several syntax errors. Post notably, you should look up paste and also not enclose i in square brackets.
Nov
27
answered Where to get 2010 Census Block data?
Nov
26
comment Is there a way to speed up gIntersections for large spatial objects?
Isn't there a gSimplify method or similar that reduces the fine detail in the edges? Should speed things up considerably.
Nov
25
comment Mapping Kansas City based on X and Y Coordinates in R
If the data source didn't provide it, your only real option is to try to figure out which projection it is by transforming a known point using a bunch of common projections and see how it goes.