jxa
commented
8 years ago Currently outputs the following to stdout
RESULTS
-----------------------
American Dipper 4
American Tree Sparrow 1
Bald Eagle 90
Black-legged Kittiwake 10
Black Oystercatcher 10
Black Scoter 148
Bufflehead 1
Common Goldeneye 1
Common Loon 1
Common Merganser 2
Common Raven 51
Common Redpoll 10
Double-crested Cormorant 1
Emperor Goose 455
Gray-crowned Rosy-Finch 3
Glaucous-winged Gull 68
Green-winged Teal 87
Greater Scaup 205
Harlequin Duck 227
Long-tailed Duck 150
Mallard 2
Mew Gull 300
Pelagic Cormorant 65
Peregrine Falcon 1
Pigeon Guillemot 68
Red-breasted Merganser 5
Red-faced Cormorant 2
Rock Ptarmigan 36
Rock Sandpiper 17
Song Sparrow 7
Steller's Eider 32
White-winged Scoter 103
American Dipper 1
American Dipper 1
American Dipper 1
American Dipper 2
American Dipper 1
American Robin 4
American Robin 4
American Robin 10
American Wigeon 1
Bald Eagle 1
Bald Eagle 2
Bald Eagle 2
Bald Eagle 2
Bald Eagle 3
Bald Eagle 1
Bald Eagle 1
Bald Eagle 1
Bald Eagle 2
Bald Eagle 1
Bald Eagle 2
Bald Eagle 1
Bald Eagle 2
Bald Eagle 1
Bald Eagle 1
Bald Eagle 1
Bald Eagle 1
Bald Eagle 1
Bald Eagle 1
Black-billed Magpie 1
Black-billed Magpie 17
Black-billed Magpie 20
Black-billed Magpie 12
Black-billed Magpie 5
Black-billed Magpie 4
Black-billed Magpie 2
Black-billed Magpie 4
Black-billed Magpie 8
Black-billed Magpie 2
Black-billed Magpie 1
Black-billed Magpie 7
Black-billed Magpie 2
Black-billed Magpie 2
Black-billed Magpie 2
Black-billed Magpie 10
Black-billed Magpie 2
Black-billed Magpie 5
Black-billed Magpie 5
Black-billed Magpie 3
Black-billed Magpie 14
Black-billed Magpie 1
Black-billed Magpie 2
Black-billed Magpie 2
Black-billed Magpie 2
Black-billed Magpie 30
Black-billed Magpie 29
Black-billed Magpie 29
Black-capped Chickadee 6
Black-capped Chickadee 20
Black-capped Chickadee 40
Black-capped Chickadee 25
Black-capped Chickadee 28
Black-capped Chickadee 9
Black-capped Chickadee 28
Black-capped Chickadee 7
Black-capped Chickadee 20
Black-capped Chickadee 22
Black-capped Chickadee 15
-----------------------
This is a WIP of an idea we had to precompute the geographical aggregation of species sightings. It is very early stages. Still learning how to use cascalog. But the idea is to skip the datomic layer entirely in order to save on hosting fees now that we have lost Neo as our hosting sponsor.
When sighting data is updated we can spin up an AWS EMR (amazon's hadoop) and run the new file through the analysis. The result will be a bunch of files on S3 which contain query results for each of the possible queries.
Open questions: