README.txt

CONTENTS
0. README.txt
1. cleaning_nei_into_latlon.py
1. do_NEI_associations.py
2. combine_nei_and_isrm.py
3. (nei_sector)_nei_isrm.csv
4. isrm_grid_cells.csv

DESCRIPTIONS
1. cleaning_nei_into_latlon.py: converting NEI geometry to lat/lon
1. do_NEI_associations.py: finding crosswalk between NEI geometry and isrm grid cell
2. combine_nei_and_isrm.py: combining NEI file and ISRM file
3. (nei_sector)_nei_isrm.csv: contains all info from NEI + 'isrm' column

index,Unnamed: 0,Unnamed: 0.1,VOC,NOx,NH3,SOx,PM25,Height,Diam,Temp,Velocity,Sector,SCC,lat,lon,isrm
0,0,0,0.0,0.0,0.0,0.0,19678.2153633581,0.0,0.0,0.0,0.0,afdust,2311010000,36.29425437149003,-119.34590716010771,5475
1,1,1,0.0,0.0,0.0,0.0,323.4692744859,0.0,0.0,0.0,0.0,afdust,2311010000,29.71348312188966,-95.29881941802972,21608
2,2,2,0.0,0.0,0.0,0.0,3989.7173873243,0.0,0.0,0.0,0.0,afdust,2311010000,41.5263554947601,-82.08992336412831,33347
3,3,3,0.0,0.0,0.0,0.0,12667.962037943798,0.0,0.0,0.0,0.0,afdust,2311010000,30.203322502988602,-95.48991348153541,21260
4,4,4,0.0,0.0,0.0,0.0,2200.2255681285,0.0,0.0,0.0,0.0,afdust,2311010000,37.24728211628532,-121.87394023855921,2525
5,5,5,0.0,0.0,0.0,0.0,1122.9992265683,0.0,0.0,0.0,0.0,afdust,2311010000,37.776947016721934,-122.1929421515559,2068


4. isrm_grid_cells.csv: contains lat/lon boundaries of ISRM grid cells

index,Unnamed: 0,lat0,lon0,lat1,lon1,lat2,lon2,lat3,lon3,lat4,lon4,min_lat,max_lat,min_lon,max_lon
0,0,18.173965282940248,-121.77152403177871,18.282897421114782,-121.35762193131006,18.676780914046745,-121.4719594535325,18.56710110465917,-121.88760857946676,18.173965282940248,-121.77152403177871,18.173965282940248,18.676780914046745,-121.88760857946676,-121.35762193131006
1,1,18.56710110465917,-121.88760857946676,18.676780914046745,-121.4719594535325,19.07141534025345,-121.58734902804336,18.96098476422113,-122.00475852458318,18.56710110465917,-121.88760857946676,18.56710110465917,19.07141534025345,-122.00475852458318,-121.4719594535325
2,2,18.96098476422113,-122.00475852458318,19.07141534025345,-121.58734902804336,19.46678515776366,-121.70380486504705,19.355600743886505,-122.12298820692827,18.96098476422113,-122.00475852458318,18.96098476422113,19.46678515776366,-122.12298820692827,-121.58734902804336
3,3,19.355600743886505,-122.12298820692827,19.46678515776366,-121.70380486504705,19.862874574013976,-121.82134142457663,19.75093327572927,-122.24231221723477,19.355600743886505,-122.12298820692827,19.355600743886505,19.862874574013976,-122.24231221723477,-121.70380486504705
4,4,19.75093327572927,-122.24231221723477,19.862874574013976,-121.82134142457663,20.259667546175756,-121.93997342183224,20.14696634195097,-122.3627454024972,19.75093327572927,-122.24231221723477,19.75093327572927,20.259667546175756,-122.3627454024972,-121.82134142457663
5,5,20.14696634195097,-122.3627454024972,20.259667546175756,-121.93997342183224,20.657147781563204,-122.05971583265223,20.54368367527568,-122.4843028714323,20.14696634195097,-122.3627454024972,20.14696634195097,20.657147781563204,-122.4843028714323,-121.93997342183224
