Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	0FED292C50A8FF8E2DF839953E5DA524
PackageArch	x86_64
PackageDescription	Many relevant applications in the environmental and socioeconomic sciences use areal data, such as biodiversity checklists, agricultural statistics, or socioeconomic surveys. For applications that surpass the spatial, temporal or thematic scope of any single data source, data must be integrated from several heterogeneous sources. Inconsistent concepts, definitions, or messy data tables make this a tedious and error-prone process. 'arealDB' tackles those problems and helps the user to integrate a harmonised databases of areal data. Read the pre-print at Ehrmann, Seppelt & Meyer (2020) <arXiv:1909.06610>.
PackageName	R-arealDB
PackageRelease	lp153.5.1
PackageVersion	0.3.4
SHA-1	9AF5B25EC2091EF44D79E7FCA08318920972EF3D
SHA-256	1C996798C37F287AC982D0BC4E52D131169C4BA04A67683F81D25C96052624F7

Key	Value
MD5	2CBB5C5B178653AE028463EC1BFAFD62
PackageArch	x86_64
PackageDescription	Many relevant applications in the environmental and socioeconomic sciences use areal data, such as biodiversity checklists, agricultural statistics, or socioeconomic surveys. For applications that surpass the spatial, temporal or thematic scope of any single data source, data must be integrated from several heterogeneous sources. Inconsistent concepts, definitions, or messy data tables make this a tedious and error-prone process. 'arealDB' tackles those problems and helps the user to integrate a harmonised databases of areal data. Read the pre-print at Ehrmann, Seppelt & Meyer (2020) <arXiv:1909.06610>.
PackageName	R-arealDB
PackageRelease	6.2
PackageVersion	0.3.4
SHA-1	89A0B781F7947DFC7F8FBAE81246C30C9D7ECB98
SHA-256	D267FDFE129FA8F398E75E4DCBD72FE607471BC1AD3205EFF61B4FC66AC7D4B7

Key	Value
MD5	BC35B1FBDDCB7AFFC6395826E52FB3BE
PackageArch	x86_64
PackageDescription	Many relevant applications in the environmental and socioeconomic sciences use areal data, such as biodiversity checklists, agricultural statistics, or socioeconomic surveys. For applications that surpass the spatial, temporal or thematic scope of any single data source, data must be integrated from several heterogeneous sources. Inconsistent concepts, definitions, or messy data tables make this a tedious and error-prone process. 'arealDB' tackles those problems and helps the user to integrate a harmonised databases of areal data. Read the pre-print at Ehrmann, Seppelt & Meyer (2020) <arXiv:1909.06610>.
PackageName	R-arealDB
PackageRelease	lp152.6.2
PackageVersion	0.3.4
SHA-1	029BADABB20FAE9B38DCA7F9220BC47CD6E01B6F
SHA-256	1F47CC2BBD0EEC7F9F16662AB9E4E11E18F22BB960AC76CEF6B3BE62DF8805CF