6,964 results returned
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Title: Warehouses: Kenya, 2011
Contributors:- Point data
- 2012
Summary: This point shapefile contains the locations of warehouses in Kenya for 2011. Data were acquired from the National Cereals and Produce Board (NCPB) in Kenya. This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Kenya. National Cereals and Produce Board. (2012). Warehouses: Kenya, 2011. United Nations. Office for the Coordination of Humanitarian Affairs. Available at: http://purl.stanford.edu/mq835kx9297
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Title: Commercial Biodiesel Production Plants: United States, Fall 2014
Contributors:- Point data
- 2015
Summary: This point dataset represents the locations of commercial biodiesel production plants in the United States. This layer is part of a collection of GIS data for renewable and electric energy in the U.S. This layer is from the 2014 Fall Quarter update (Update 1017). This shapefie can be used for locating and analysing existing commercial biodiesel production plants in the United States. Hart Energy Publishing (2015). Commercial Biodiesel Production Plants: United States, Fall 2014. Hart Energy Publishing. Available at: http://purl.stanford.edu/zm624wt5578. This release is intended to replace all previous datasets This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Biodiesel Plants: United States, 2015
Contributors:- Point data
- 2008
Summary: This point shapefile provides the locations of commercial biodiesel production plants in the United States for 2015. This layer is a part of a collection of GIS data containing renewable and electric energy information for the U.S., including data on transmission lines, power plants and electricity substations. This layer can be used for locating and analysing existing commercial biodiesel production plants in the United States. Hart Energy Publishing. (2015) Biodiesel Plants: United States, 2015. Hart Energy Publishing. Available at: http://purl.stanford.edu/xj149gn6541 This release is intended to replace all previous datasets This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Commercial Biodiesel Production Plants: United States, Summer 2014
Contributors:- Point data
- 2014
Summary: This point dataset represents the locations of commercial biodiesel production plants in the United States. This layer is part of a collection of GIS data for renewable and electric energy in the U.S. This layer is from the 2014 Summer Quarter update (Update 1016). This shapefie can be used for locating and analysing existing commercial biodiesel production plants in the United States. Hart Energy Publishing (2016). Commercial Biodiesel Production Plants: United States, Summer 2014. Hart Energy Publishing. Available at: http://purl.stanford.edu/qq784pz4059. This release is intended to replace all previous datasets This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Commercial Biodiesel Production Plants: United States, Spring 2013
Contributors:- Point data
- 2013
Summary: This point dataset represents the locations of commercial biodiesel production plants in the United States. This layer is part of a collection of GIS data for renewable and electric energy in the U.S. This layer is from the 2013 Spring Quarter update (Update 1011). This shapefie can be used for locating and analysing existing commercial biodiesel production plants in the United States. Hart Energy Publishing (2013). Commercial Biodiesel Production Plants: United States, Spring 2013. Hart Energy Publishing. Available at: http://purl.stanford.edu/yy327jd9166. This release is intended to replace all previous datasets This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Important Bird Areas: Kenya, 2003-2004
Contributors:- Point data
- 2007
Summary: This polygon shapefile depicts Important Bird Areas (IBAs) and their status in Kenya, 2003-2004. The data depicts each IBA by a point in the center of its associated area. IBAs range from 1 hectare to more than 1 million hectares in size. This layer identifies 60 IBAs in Kenya covering some 5.7 million hectares (10 percent of the country’s land area). These areas play a critical role in ensuring the survival of local and migratory bird species. Of these 60 sites, only 35 are located inside parks, sanctuaries, reserves, or other protected areas. Thus, the survival of local and migratory species relies heavily on coexistence with people in landscapes that have been significantly altered by human activities. A recent assessment of the conservation status of Kenya’s IBAs indicated that many are in decline—a finding that bodes ill for Kenya’s rich bird diversity. Indeed, some 27 bird species in Kenya have been listed as “critically endangered, endangered, or vulnerable.” This data was used in Map 5.3 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Nature Kenya. (2007). Important Bird Areas: Kenya, 2003-2004. Birdlife International. Available at: http://purl.stanford.edu/jm947qz7375 Please note that this data is frequently updated. Please refer to Birdlife International's website for most updated versions and downloads: http://www.birdlife.org/datazone/index.html 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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Title: GINI Coefficient for 210 Constituencies in Kenya, 1999
Contributors:- Polygon data
- 2005
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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Title: Kenya Elevation, 2002
Contributors:- Raster data
- 2002
Summary: Kenya Elevation is a Digital Elevation Model representing elevations throughout Kenya at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Kenya Vegetation, 2002
Contributors:- Raster data
- 2002
Summary: Kenya Vegetation is a raster theme representing percentages of tree cover throughout Kenya at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Kenya Landcover, 2002
Contributors:- Raster data
- 2002
Summary: Kenya Landcover is a raster theme representing land cover classifications throughout Kenya at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Kenya Landuse, 2002
Contributors:- Raster data
- 2002
Summary: Kenya Landuse is a raster theme representing landuse classifications throughout Kenya at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: City of Nairobi
Contributors:- Image data
- 1978
Summary: Map shows roads, built-up areas, major buildings, churches, cemeteries, parks, and other important features. Includes indexes to principal roads and places of interest, distance tables, climate charts, and photographs on verso. Legend in English, French, German, and Italian. Text in English, French, and German. On verso: Nairobi guide to city centre (1:15,840), history notes, suggested excursions, distance tables, climatic charts, and photographs. Edition partly revised from aerial photography dated August 1970, and January1971. Seventh edition partly revised from aerial photography in 1976 & the schedule of new street names for city area dated 1974. ©Kenya Government 1978
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Title: City of Nairobi : (central area)
Contributors:- Image data
- 1967
Summary: Map shows roads, built-up areas, churches, parks, and other important features. Includes indexes for principal roads, places of interest, advertisers and photographs on margin. On verso: Nairobi guide to city centre (1:15,840) showing 24-hour car parks, index to places of interes, and advertisements.
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Title: Nakuru
Contributors:- Image data
- 1962
Summary: Map shows municipal and property boundaries, land reference numbers. Relief shown by contours with 10 foot interval. "1500/1/63." ©Crown copyright 1963
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Title: Nairobi
Contributors:- Image data
- 1959
Summary: Map shows municipal boundaires, property boundaries, land reference numbers, roads, and railways. Relief shown by 10 feet contour interval. "Crown copyright reserved." Three sheets joined together to form one map.
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Title: Turtle Nesting Sites on the Eastern Coast of Kenya, 2006
Contributors:- Point data
- 2006
- United Nations Development Programme (Kenya)
- Kenya Marine and Fisheries Research Institute
- Danmarks og Grønlands geologiske undersøgelse
Summary: This point shapefile contains locations of turtle nesting and breeding sites on the eastern coast of Kenya. This data was used in Map 6.4 and Map 6.5 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. United Nations Development Programme (Kenya), Kenya Marine and Fisheries Research Institute and Geological Survey of Denmark . (2006). Turtle Nesting Sites on the Eastern Coast of Kenya, 2006. World Resources Institute. KMFRI and GSD. Available at: http://purl.stanford.edu/rp968zc9902 The full report is available at http://www.geus.dk/program-areas/nature-environment/international/reports/kensea/kensea_rapport.pdf. 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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Title: Coral Reefs on Eastern Coast of Kenya, 2006
Contributors:- Line data
- 2006
- Kenya Marine and Fisheries Research Institute
- United Nations Development Programme (Kenya)
- Nationale geologiske undersøgelser for Danmark og Grønland
Summary: This polygon shapefile represents coral reefs on the eastern coast of Kenya. These data were acquired from 'KenSea, Environmental Sensitivity Atlas for Coastal Area of Kenya,' published by the Geological Survey of Denmark (GEUS) (2006). To protect the ecological integrity of Kenya’s coral reefs, the government has designated six marine reserves — Kisite, Kiunga, Malindi, Mombasa, Mpunguti, and Watamu — encompassing a significant portion of the reef and its surrounding waters. This data was used in Map 6.4 and Map 6.5 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Geological Survey of Denmark and Greenland, Kenya Marine and Fisheries Research Institute, and the United Nations Development Programme of Kenya. (2006). Coral Reefs on Eastern Coast of Kenya, 2006. GEUS. Available at: http://purl.stanford.edu/kb118sw6233 The full report is available at http://www.geus.dk/program-areas/nature-environment/international/reports/kensea/kensea_rapport.pdf. 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. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Mangroves on the Eastern Coast of Kenya, 2006 (Polygons)
Contributors:- Polygon data
- 2006
- Kenya Marine and Fisheries Research Institute
- Danmarks og Grønlands geologiske undersøgelse
- United Nations Development Programme (Kenya)
Summary: This polygon shapefile shows areas of mangroves on the eastern coast of Kenya. This data was used in Map 6.4 and Map 6.5 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Kenya Marine and Fisheries Research Institute, Danmarks og Grønlands geologiske undersøgelse and United Nations Development Programme, Kenya. (2006). Mangroves on the Eastern Coast of Kenya, 2006 (Polygons). World Resources Institute. Available at: http://purl.stanford.edu/qx480ts2219 The full report is available at http://www.geus.dk/program-areas/nature-environment/international/reports/kensea/kensea_rapport.pdf. 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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Title: Mangroves on the Eastern Coast of Kenya, 2006 (Lines)
Contributors:- Line data
- 2006
- Kenya Marine and Fisheries Research Institute
- Danmarks og Grønlands geologiske undersøgelse
- United Nations Development Programme (Kenya)
Summary: This line shapefile represents mangroves on the eastern coast of Kenya. This data was used in Map 6.4 and Map 6.5 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Kenya Marine and Fisheries Research Institute, Danmarks og Grønlands geologiske undersøgelse and United Nations Development Programme, Kenya. (2006). Mangroves on the Eastern Coast of Kenya, 2006 (Lines). World Resources Institute. Available at: http://purl.stanford.edu/sw115tp5754 The full report is available at http://www.geus.dk/program-areas/nature-environment/international/reports/kensea/kensea_rapport.pdf. 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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Title: Major Cities: Kenya, 2000
Contributors:- Point data
- 2000
Summary: This point shapefile identifies major cities in Kenya for 2000. Data from 1:50,000 and 250,000 topographic maps originally created by the Geological Survey of Kenya were digitized by the International Livestoack Research Institute and the Japan International Cooperation Agency. This data was used in maps throughout Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Geological Survey of Kenya, Japanese International Cooperation Agency, and International Livestock Research Institute. (2000). Major Cities: Kenya, 2000. World Resources Institute. Available at: http://purl.stanford.edu/mb999xf7048 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.