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  1. Title: Small-Scale Irrigation and Drainage Points in Kenya, 1995

    Contributors:

    Summary: This point shapefile contains locations of existing small-scale irrigation and drainage points in Kenya. Clusters of small-scale irrigation points are especially prevalent around the shores of Lake Victoria and the base of Mount Kenya. The irrigated areas around the base of Mount Kenya depend mostly on water from the upper Tana and Ewaso Ngiro Rivers, which drain from the top of the mountain. This data was used in Map 3.12 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Kenya. Ministry of Agriculture. (1995). Small-Scale Irrigation and Drainage Points in Kenya, 1995. Kenya, Ministry of Agriculture. Available at: http://purl.stanford.edu/jt676ms4525 Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

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  2. Title: Kenya Geomorphology : Landform and Lithology

    Contributors:

    Summary: Kenya geomorphology : landform and lithology from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:350,000. The landform and lithology has been produced from visual interpretation of digitally enhanced LANDSAT TM images acquired mainly in the year 1995. the landform classes have been developed using the ITC (International Institute for Geo-Information Science and Earth Observation) and SOTER (Soil and Terrain Database) methods.

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  3. Title: Kenya Thematic Agriculture Aggregation Landcover

    Contributors:

    Summary: Kenya thematic agriculture aggregation landcover from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:200,000. This dataset is a reaggregated version of the original national Africover landcover multipurpose database. It contains all cultivated land. The land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1999. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.

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  4. Title: Kenya Spatially Aggregated Multipurpose Landcover Database

    Contributors:

    Summary: Kenya spatially aggregated multipurpose landcover database from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:200,000. This dataset is a spatially reaggregated version of the original national Africover landcover multipurpose database. The land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1999. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.

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  5. Title: Kenya Thematic Grassland Aggregation Landcover

    Contributors:

    Summary: Kenya thematic grassland aggregation landcover from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:200,000. This dataset is a reaggregated version of the original national Africover landcover multipurpose database. It contains all natural vegetation with a herbaceous component. The land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1999. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.

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  6. Title: Kenya Thematic Woody Aggregation Landcover

    Contributors:

    Summary: Kenya thematic woody aggregation landcover from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:200,000. This dataset is a reaggregated version of the original national Africover landcover multipurpose database. It contains all natural vegetation with a woody component. The land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1999. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.

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  7. Title: Kenya Roads

    Contributors:

    Summary: Kenya roads from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:100,000. The roads have been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1995.

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  8. Title: Kenya Rivers

    Contributors:

    Summary: Kenya rivers from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:100,000. The rivers have been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1995.

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  9. Title: Kenya National Boundaries

    Contributors:

    Summary: Kenya national boundaries from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:100,000. The national and administrative boundaries have been provided by the National Focal Point Institution (NFPI).

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  10. Title: Kenya Towns

    Contributors:

    Summary: Kenya towns from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:100,000. The towns and major towns shapefiles were developed from data from the National Imagery and Mapping Agency (NIMA).

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  11. Title: Kenya Landcover

    Contributors:

    Summary: Kenya landcover from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:200,000. he land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1995. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.

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  12. Title: Kenya Major Towns

    Contributors:

    Summary: Kenya major towns from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:100,000. The towns and major towns shapefiles were developed from data from the National Imagery and Mapping Agency (NIMA).

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  13. Title: Kenya Administrative Boundaries

    Contributors:

    Summary: Kenya administrative boundaries from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:100,000. The national and administrative boundaries have been provided by the National Focal Point Institution (NFPI).

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  14. Title: Khartoum tourist map

    Contributors:

    Summary: Map shows major streets, built-up areas, and facilities of interest, including cemeteries, mosques, and churches. Includes index to "places of interest and importance" on verso. Title from panel on verso.

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  15. Title: GINI Coefficient for 210 Constituencies in Kenya, 1999

    Contributors:

    Summary: This polygon shapefile depicts the average inequality of per capita expenditures (also known as the GINI Index) for 210 constituencies in Kenya for 1999. Spatial patterns of inequality in per capita expenditure (as measured by the Gini coefficient) differ at the sub- provincial level. Areas of highest inequality are found near urban areas, including Nairobi and large towns such as Kisumu. Inequality also is quite high in some less poor areas of the central highlands and Rift Valley, perhaps due to very poor subsistence farmers living side by side with more prosperous households earning higher incomes from commercial agriculture. Inequality is lower in areas of the north, Western Province, North East Province, and Coastal Province where the populace is more uniformly poor. This data was used in Map 2.10 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Kenya, Central Bureau of Statistics and Kenya, Ministry of Planning and National Development (2003). GINI Coefficient for 210 Constituencies in Kenya, 1999. Kenya, Central Bureau of Statistics. Available at: http://purl.stanford.edu/wz812mp8946 Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

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  16. Title: Geological map of Indiana...

    Contributors:

    Summary: Issued in 2 sections. 17x111 Centimeters in cover 31x22 Centimeters Scale: 4 miles to 1 inch. General Map Collection

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  17. Title: High-Quality Lakes and Large Rivers, Wisconsin 2023

    Contributors:

    Summary: This data represents high quality lakes and large rivers in Wisconsin in 2023. [High-Quality Lakes and Large Rivers displayed in the DNR Watershed Restoration and Protection Viewer. These are lakes and large rivers with at least two of the following attributes: unique or rare resource, attaining state water quality standards, or good to excellent biotic integrity. To see the official color ramping of these instances please reference the Healthy Waters, High-Quality Waters web page and the viewer.]

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  18. Title: DNR Managed Land Parcels, Wisconsin 2023

    Contributors:

    Summary: This data represents DNR managed land parcels in Wisconsin in 2023. [This dataset contains DNR Managed Lands as parcels with local property name, and GIS and deed acreages. Parcels are symbolized as fee simple (DNR Owned), DNR easement on private land (open/restricted public access) and DNR lease on federal- and county-owned land. This dataset does not contain closed fee or easement. See metadata/data dictionary for interest (transaction type) classification. The parcels are digitized from deed legal description and based on the DNR Landnet System (Public Land Survey System), Wisconsin Transverse Mercator. This data is updated on a weekly basis. This layer represents the geometry of the real estate holdings of the Wisconsin Department of Natural Resources and is not to be interpreted as representing legal property boundaries.]

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  19. Title: State Trail Segments, Wisconsin 2023

    Contributors:

    Summary: This data represents state trail segments for Wisconsin in 2023. [This layer displays state trails in Wisconsin. State trails have been segmented into numerous smaller segments when a change in any of the listed attributes change along a state trail: Segment Name, Corridor Number (of network plan corridors), Surface Type, Trail Manager, County, Trail Pass Required, Open Status, Rail Trail, Allowed Use, or overlap with other trails. This layer was updated for with the 2023 Wisconsin Trails Network Plan Update and will receive updates as the above listed attributes change throughout the state trails. The Ice Age National Scenic Trail and North Country National Scenic Trail are not included in this layer, though it is recommended and encouraged that these are used alongside this state trails layer when working with Wisconsin state trails, due to their state trail classification.]

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  20. Title: Hydro Watersheds (10 digit), Wisconsin 2023

    Contributors:

    Summary: This data represents hydro watershed boundary(10 digit) for Wisconsin in 2022.[The intent of defining Hydrologic Units (HU) within the Watershed Boundary Dataset is to establish a base-line drainage boundary framework, accounting for all land and surface areas. Hydrologic units are intended to be used as a tool for water-resource management and planning activities particularly for site-specific and localized studies requiring a level of detail provided by large-scale map information. The WBD complements the National Hydrography Dataset (NHD) and supports numerous programmatic missions and activities including: watershed management, rehabilitation and enhancement, aquatic species conservation strategies, flood plain management and flood prevention, water-quality initiatives and programs, dam safety programs, fire assessment and management, resource inventory and assessment, water data analysis and water census.]

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