province
ENACTS version0 WASP queriesENACTS provincequery[the_geom exp1_year str1_year adm1_name gid disp_area status adm1_code adm0_code adm0_name shape_area coarse_geom shape_leng ]
ENACTS version0 WASP queriesENACTS provincequery str1_year[ | province]	M
max $integral dprovince$ [ ENACTS version0 WASP queriesENACTS provincequery adm1_code ] [ |]
ENACTS version0 WASP queriesENACTS provincequery adm0_code[ | province]	M
ENACTS version0 WASP queriesENACTS provincequery status[ | province]	M
ENACTS version0 WASP queriesENACTS provincequery exp1_year[ | province]	M
ENACTS version0 WASP queriesENACTS provincequery exp1_year[ | province]	M
ENACTS version0 WASP queriesENACTS provincequery the_geom[ | province]	M
ENACTS version0 WASP queriesENACTS provincequery adm0_name[ | province]	M
ENACTS version0 WASP queriesENACTS provincequery str1_year[ | province]	M
ENACTS version0 WASP queriesENACTS provincequery shape_leng[ | province]	M

SOURCES .ENACTS .version0 .WASP .queriesENACTS .provincequery str1_year 1 index .adm1_code province integral [province ]maxover 2 index .adm0_code 3 index .status 4 index .exp1_year exp1_year 6 index .the_geom 7 index .adm0_name 8 index .str1_year 9 index .shape_leng

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

• Monthly Climatology calculates a monthly climatology by averaging over all years.
• anomalies calculates the difference between the (above) monthly climatology and the original data.
• Integrate along province
• Differentiate along province
• Take differences along province

Average over province |
RMS (root mean square with mean *not* removed) over province |
RMSA (root mean square with mean removed) over province |
Maximum over province |
Minimum over province |
Detrend (best-fit-line) over province |

Convert units from unitless to

Note on units