Project.toml

name = "SpatialEcology"
uuid = "348f2d5d-71a3-5ad4-b565-8af070f99681"
keywords = ["macroecology", "ecology", "biology", "geography"]
license = "MIT"
desc = "Julia framework for spatial ecology"
authors = ["mkborregaard <mkborregaard@snm.ku.dk"]
version = "0.9.17"

[deps]
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DataFramesMeta = "1313f7d8-7da2-5740-9ea0-a2ca25f37964"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
EcoBase = "a58aae7d-b440-5a11-b283-399458f99aac"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
RandomBooleanMatrices = "9ae346a0-3d16-5633-ad70-ddb60ab77eac"
RandomNumbers = "e6cf234a-135c-5ec9-84dd-332b85af5143"
RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"

[compat]
DataFrames = "1.0, 1.1, 1.2"
DataFramesMeta = "0.5, 0.6, 0.7, 0.8, 0.9, 0.10, 0.11, 0.12, 0.13, 0.14, 0.15"
Distances = "0.8, 0.9, 0.10"
EcoBase = "0.1"
Random = "1"
RandomBooleanMatrices = "0.1"
RandomNumbers = "1.4"
RecipesBase = "0.7, 0.8, 1"
SparseArrays = "1"
StableRNGs = "1"
Statistics = "1"
StatsBase = "0.32, 0.33, 0.34"
julia = "1"

[extras]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["CSV", "Plots", "Test", "Distances", "StableRNGs"]