4,289 results returned
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Title: Annual Projected Water Balance by Subdrainage Area in Kenya, 2000 and 2010
Contributors:- Polygon data
- 2007
Summary: This polygon shapefile portrays annual projected water balance by subdrainage area in Kenya for 2000 and 2010. The data was taken from the Kenya National Water Master Plan (1992) and joined by sub-basin. Land areas with negative water balances (where water supply is outstripped by demand) will require investment in water resource infrastructure to cover their needs. This data was used in Map 3.7 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2007). Annual Projected Water Balance by Subdrainage Area in Kenya, 2000 and 2010. World Resources Institute. 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: Average Water Consumption by Livestock and Wildlife by Subdrainage Area, Kenya, 1994-1996
Contributors:- Polygon data
- 2007
Summary: This polygon shapefile represents the average water consumption of livestock and wildlife by sub-basin in Kenya for 1994-96. The greatest water demand from livestock occurs in the surveyed subdrainages of the Lake Victoria drainage area near Tanzania. Wildlife demand for water is also high in this area, mostly because of the number of animals within and close to a large protected area (Masai Mara). The subdrainages north of Mount Kenya (Ewaso Ngiro North drainage) also have significant water demand because of the high number of wildlife species. This data was used in Map 3.13 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2007). Average Water Consumption by Livestock and Wildlife by Subdrainage Area, Kenya, 1994-1996. World Resources Institute. Available at: http://purl.stanford.edu/jw872tw3200 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: Percentage of Woodlots in Sampled Croplands of Central and Western Kenya, 1997
Contributors:- Polygon data
- 2007
Summary: This polygon shapefile shows the percentage of woodlots in sampled cropland in central and western Kenya, 1997. Areas with higher percentages of woodlots cluster more extensively in the foothills of the Aberdare Range and Mount Kenya, and in most communities of Central Kisii, Nyamira, and Buret Districts. A relatively large area of the upper parts of Maragua and Muranga Districts is covered by cropland where woodlots cover more than 12 percent of the land. Close proximity to densely settled rural and urban areas, as well as other centers of high wood demand (for example, tea production) are among the factors behind these spatial patterns. The share of woodlots is much lower in the western parts of the country. Farmers also do not plant woodlots in the more marginal cropping areas with lower rainfall, such as Makueni, Kitui, Mbeere, or Tharaka Districts. Note that these farmers may still plant trees for other purposes and that woodlots are only one of many sources for firewood (other sources include vegetation used to demarcate boundaries, or vegetation on cropland). This data was used in Map 7.3 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2007). Percentage of Woodlots in Sampled Croplands of Central and Western Kenya, 1997. World Resources Institute. Available at: http://purl.stanford.edu/ms622nd8468 These data combine detailed crop information from 5,747 aerial photos for a growing season in 1997, each providing a sample point of detailed crop information. These samples were averaged to spatial units (polygons) of croplands from Kenya's most recent land-cover map (FAO 2000). 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: Food Crops as a Percentage of all Cropland in Central and Western Kenya, 2001
Contributors:- Polygon data
- 2007
Summary: This polygon shapefile depicts the share of cropland that is dedicated to food crops, irrespective of the overall intensity of cultivation. By using only two categories (food and nonfood) and grouping the data into four broad data ranges, the map is relatively robust to the seasonal changes in specific crop choices caused by differences in rainfall, prices, demand, and labor availability. Spatial patterns of food cropping do not necessarily mirror those of cropland intensity. Areas where more than 75 percent of farmers’ cropland is dedicated to food crop are concentrated in high-potential Districts such as Trans Nzoia, Uasin Gishu, Lugari, upper Nandi, and Nakuru (maize and other cereals); Narok (wheat); and lower Kirinyaga (rice). High food-crop shares also occur in more marginal cropping areas such as the Districts bordering Lake Victoria and large parts of Machakos and Makueni Districts (but here low-yielding maize is the major contributor). The lowest shares of food crops (25 percent) cover the tea-growing areas along the Aberdare Range; Mount Kenya; and parts of eastern Bomet, Buret, Kericho, and Nyamira Districts. Areas with a food share of 25-50 percent include the coffee-growing zones of the Aberdare Range and Mount Kenya in Central Province. In the west, for example, in Siaya, Kakamega, and Migori Districts, low shares of food crops are typically paired with sugarcane or tobacco crops. Areas with low shares of food crops in Kitui District may be temporary, reflecting large shares of fallow cropland during the 1997 season of the aerial surveys. This data was used in Map 4.4 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2007). Food Crops as a Percentage of all Cropland in Central and Western Kenya, 1997. World Resources Institute. Available at: http://purl.stanford.edu/rk193ch4837 These data combine detailed crop information from 5,747 aerial photos for a growing season in 1997, each providing a sample point of detailed crop information. These samples were averaged to spatial units (polygons) of croplands from Kenya's most recent land-cover map (FAO 2000). 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: Dams: Mombasa, Kenya, 1992
Contributors:- Point data
- 2007
Summary: This point shapefile shows the locations of dams serving Mombasa, Kenya. Data were compiled by WRI from 1:50,000 topographic maps and other sources. This data was used in Map 3.10 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2007). Dams: Mombasa, Kenya, 1992. World Resources Institute. Available at: http://purl.stanford.edu/vx841dt1251 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: Large Hydropower Dams: Kenya, 2006
Contributors:- Point data
- 2007
Summary: This polygon shapefile shows the locations of large hydropower dams in Kenya. Dams were located based on existing data from the Geological Survey of Kenya (1971) and KenGen (2006). Hydropower dams, although contributing significantly to economic development and human well-being, can have negative impacts on populations and ecosystems as well. Dams can affect downstream water supply, displace people, ruin aesthetic and sometimes spiritual landmarks such as waterfalls, and increase threats to fish and other species that depend on rivers for their habitat. This data was used in Map 3.11 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2007). Large Hydropower Dams: Kenya, 2006. World Resources Institute. Available at: http://purl.stanford.edu/db503vt9549 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: Tourist Accommodations in Kenya, 1993
Contributors:- Point data
- 2007
Summary: This point shapefile cotains locations of tourist accomodations (including campsites, tented camps, hotels and lodges) in Kenya. This data was used in Map 6.6 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2007). Tourist Accommodations in Kenya, 1993. World Resources Institute. Available at: http://purl.stanford.edu/mv083dr3691 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: Average Number of Crops Grown in Croplands of Central and Western Kenya, 2001
Contributors:- Polygon data
- 2007
Summary: This polygon shapefile represents the average number of crops grown in croplands of central and western Kenya, 1997. This map combines detailed crop information from 5,747 aerial photos for a growing season in 1997, each providing a sample point of detailed crop information. These samples are averaged to spatial units (polygons) of crop - lands from Kenya’s most recent land cover map (FAO 2000). These averages represent conservative estimates. The raw data indicate that in some sample points farmers grow up to eight different crop species simultaneously. This data was used in Map 5.5 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2007). Average Number of Crops Grown in Croplands of Central and Western Kenya, 2001. World Resources Institute. Available at: http://purl.stanford.edu/nj950zc2179 These data combine detailed crop information from 5,747 aerial photos for a growing season in 1997, each providing a sample point of detailed crop information. These samples were averaged to spatial units (polygons) of croplands from Kenya's most recent land-cover map (FAO 2000). These averages represent conservative estimates. The raw data indicate that in some sample points farmers grow up to eight different crop species simultaneously, especially in Kirinyaga, Meru Central, and Gucha Districts. 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: Proposed Micro-Hydropower Sites: Kenya, 2005
Contributors:- Point data
- 2007
Summary: This point shapefile contains locations of proposed small micro-hydropower sites in Kenya. This data was used in Map 3.11 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2007). Proposed Micro-Hydropower Sites: Kenya, 2005. World Resources Institute. Available at: http://purl.stanford.edu/wt416gc6757 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: Micro-Hydropower Sites: Kenya, 2006
Contributors:- Point data
- 2000
Summary: This point shapefile shows locations of small micro-hydropower sites in Kenya. This data was used in Map 3.11 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2000). Micro-Hydropower Sites: Kenya, 2006. World Resources Institute. Available at: http://purl.stanford.edu/mx371xj5031 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: Intensity of Cultivation: Kenya, 2000
Contributors:- Polygon data
- 2000
Summary: This polygon shapefile portrays the percentage of land under cutivation in Kenya. Cultivated lands, are intensively farmed land. Areas of more than 80 percent cropland represent only a small proportion of Kenya’s agroecosystems. These densely cropped areas are found predominantly in the highlands of central and western Kenya and in small patches of lowlands. They include intensively produced crops such as wheat, tea, sugarcane, irrigated rice, and high-yielding maize (see Map 4.4 for a more detailed view). The majority of Kenya’s agroecosystems consist of landscapes with 50 or 60 percent active cropland, mixed with less intensively managed land. The latter can include, for example, forests or woodlands that can support mixed activities such as wood extraction and livestock grazing. This layer is a WRI calculation based on the FAO Africover Legend for Croplands (2000). Used in Map 5.4 of Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2000). Intensity of Cultivation: Kenya, 2000. World Resources Institute. Available at: http://purl.stanford.edu/pp138rt8492 Original data are downloadable at www.africover.org. 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: Grevy's Zebra Distributions: Kenya, 1977-1978
Contributors:- Point data
- 1997
Summary: This point shapefile represents the number of Grevy's zebra observed in Kenya in 1977-78. Grevy’s zebra is a unique species found only in northern Kenya, eastern Ethiopia, and Somalia. The largest of Kenya’s zebra species, Grevy’s zebra is distinct from the more common Burchell’s zebra found elsewhere in Kenya and the rest of Africa. This data was used in Map 5.13 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (1997). Grevy's Zebra Distributions: Kenya, 1977-1978. World Resources Institute. Available at: http://purl.stanford.edu/fj806hw4603 Census counts of observed numbers of Grevy's Zebra during low-altitude flights, aggregated to 5km grid cells. Please refer to DRSRS for updates. 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: Grevy's Zebra Distributions: Kenya, 1994-1996
Contributors:- Point data
- 1997
Summary: This point shapefile represents the number of Grevy's zebra observed in Kenya in 1994-96. Grevy’s zebra is a unique species found only in northern Kenya, eastern Ethiopia, and Somalia. The largest of Kenya’s zebra species, Grevy’s zebra is distinct from the more common Burchell’s zebra found elsewhere in Kenya and the rest of Africa. This data was used in Map 5.14 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (1997). Grevy's Zebra Distributions: Kenya, 1994-1996. World Resources Institute. Available at: http://purl.stanford.edu/qm381yj7592 Census counts of observed numbers of Grevy's Zebra during low-altitude flights, aggregated to 5km grid cells. Please refer to DRSRS for updates. 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: River Basins and Sub-Basins: Kenya, 1992
Contributors:- Polygon data
- 1992
Summary: This polygon shapefile shows river basins and sub-basins, as well as areas of drainage and subdrainage in Kenya. This data was used in selected maps in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2007). River Basins and Sub-Basins: Kenya, 1992. World Resources Institute. Available at: http://purl.stanford.edu/tx315qk4472 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: Minnesota Natural Resource Atlas
Contributors:- Not specified
Summary: The Interactive Map provides a basic set of GIS tools for viewing, searching, and manipulating mapped data. These tools allows users to measure, access attribute data, conduct basic summaries, query features, and view different combinations of spatial data. Information can be shared by exporting results and map images.
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Title: esridemog98 - World Demographics - DBMS View
Contributors:- Polygon data
- 1998
Summary: World Demographics is a table with 28 country attributes on population, vital statistics, and the economy. This single table includes attributes for 1998 (both scales) and 1992 world countries. To display World Demographics attributes on a map, join the World Demographics table to the World Countries 1998 or World Countries 1992 table using Fips_code or Abbrevname as the common field.
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Title: esripolorg98 - World Political Organization Membership - DBMS View
Contributors:- Polygon data
- 1998
Summary: World Demographics is a table with 28 country attributes on population, vital statistics, and the economy. This single table includes attributes for 1998 (both scales) and 1992 world countries. To display World Demographics attributes on a map, join the World Demographics table to the World Countries 1998 or World Countries 1992 table using Fips_code or Abbrevname as the common field.
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Title: esripolorg92 - World Political Organization Membership - DBMS View
Contributors:- Polygon data
- 1992
Summary: World Political Organization Membership is a table with 14 attributes on membership of countries in world political organizations such as the Untied Nations and the Food and Agriculture Organization (FAO). To display World Political Organization Membership attributes on a map, join this table to the World Countries 1998 or World Countries 1992 table using Fips_code or Abbrevname as the common field.
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Title: Septic Systems, New York State, 2011
Contributors:- Polygon data
- 2015
Summary: This dataset presents counts of septic systems at the census tract level. Data were derived from 2011 county parcel data and aggregated by census tract. Septic systems are used by 22% of homes in New York State, and they are important components of the wastewater infrastructure. This dataset quantifies how many septic systems are used across New York State.
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Title: World Wildlife Fund Marine Ecoregions, 2001
Contributors:- Polygon data
- 2001
Summary: World Wildlife Fund Marine Ecoregions represents global marine ecoregions. Ecoregions are defined as relatively large areas of land or water in the world containing a characteristic set of natural communities that share a large majority of their species, dynamics, and environmental conditions. This data set contains the marine ecoregions of the Global 200. Global 200 ecoregions are a collection of the Earth's most outstanding and diverse terrestrial, freshwater, and marine habitats where the Earth's biological wealth is most distinctive and rich, where its loss will be most severely felt, and we must protect if we are to preserve the web of life. For more information, contact http://www.worldwildlife.org.