2 edition of Agor-maps a Global Spatial Database of Subnational Agricultural Land-use Statistics (Land and Water Digital Media Series) found in the catalog.
Agor-maps a Global Spatial Database of Subnational Agricultural Land-use Statistics (Land and Water Digital Media Series)
Food and Agriculture Organization (Fao)
by Food & Agriculture Organization of the UN (FA
Written in English
|The Physical Object|
Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. Written in terms of four data sets easily accessible online, this book guides the reader through the analysis of. Global Land Use Database SAGE has been developing global databases of land use and land cover by combining satellite data and census data. This website provides access to our datasets of the distribution of the world's natural vegetation, croplands, grazing lands, major crops, etc.
1 Analysis of Global Land use, Working Package Introduction The aim of this working package was to carry out an analysis of global land use. It intends to examine, in addition to the actual land use, the fields of human settlements, transport, infrastructure, population development and raw material withdrawals. The approach to this work. The National Agriculture Statistics Service (NASS) is one of the main statistical gathering units of the USDA, and publishes U.S., state, and county level agricultural statistics for many commodities and data series. It covers data on crop production, livestock production, costs and prices, demographics, and environmental aspects of can be retrieved by commodity, .
Flodin, Mickey. Overview. Works: 15 works in publications in 1 language and 8, library holdings Agor-maps a global spatial database of subnational agricultural land-use statistics by Mickey Flodin (Book) 1 edition published. Application of Gis and Gps in Precision Agriculture (a Review) Mohmmad Reza Yousefi1*, Ayat Mohammad Razdari2 1 Isl ami cAzdU nv e rty,Q hB 2D ep artm nofB isyE g,Uv ShKdI Agriculture is a complex system science and the knowledge of it is consisting of much concepts and relationships. Examinations in connection with site-specific farming have.
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Agro-MAPS - Global Spatial Database of Agricultural Land-Use Statistics. Agro-MAPS is an interactive web-based information system which contains statistics on primary food crops, aggregated by sub-national administrative districts. It contains basically tabular data, presented on a map background, on crops.
Agro-MAPS allows to select by country, eventually sub-national unit (if. Agro-Maps: A Global Spatial Database of Subnational Agricultural Land-Use Statistics (FAO Land and Water Digital Media Series: CD-Rom) Cdr Edition by Food and Agriculture Organization of the United Nations (Author).
Agro-maps [electronic resource]: a global spatial database of subnational agricultural land use statistics Responsibility Land and Water Development Division, Food and Agriculture Oganization of the United Nations. Geospatial Data Search All Subjects - Boundaries Climate Farming and Food Production Geology Health Historical Human Environment Indexes and Grids Location Physical Environment Planning Pollution Portals Remote Sensing and Air Photos Software Soils.
These two FAO supported activities are the Global Livestock Production and Health Atlas (GLiPHA) and the Global Spatial Database of Subnational Agricultural Land-Use Statistics (Agro-MAPS).
Both of these initiatives are fairly recent and incomplete, with the latter of the two currently containing a slightly more extensive archive of subnational data. SAGE Global Land Use Data The Center for Sustainability and the Global Environment (SAGE) at the University of Wisconsin has been developing global databases of contemporary and historical agricultural land use and land cover.
SAGE has chosen to focus on agriculture because it. The spatial data are provided in raster GeoTIFF and ESRI Grid formats.
Raster cell sizes are 5”, or decimal degrees (~10 km at the equator). The data set is in geographic projection. The approach integrates economic theory, observed land use, and data on both socioeconomic and biophysical determinants of land use change.
It is global in scope and is estimated using long-term historical data, thereby making it suitable for long-term projections, such as in IAMs. Statistics on land use Regional/ global data •Crops FAOSTAT, IFPRI, Agro-MAPS.
•ForestsFAO (FRA) •WaterAQUASTAT, U. Kassel • Cultivation intensity NASA • Eco systems USGS s a e r a d e t c e t o r •P UNEP-WCMC Complexity of agricultural land use. where agriculture is the main land use but the tree cover meets the criteria for forests; and urban parks.
• Designed to be the “global spatial database of sub-national agricultural land-use. A New Global Database on Agricultural Land Use The newly available MRF dataset comprises harvested are a and yield for individual crops circa the year at 5 minute by 5 minute spatial.
The book is written in terms of the analysis of four data sets, two from ecology and two from agriculture. These data sets are available online. It guides readers through the analysis of each of these data sets, including setting the research objective, designing the sampling plan, data quality control, exploratory and confirmatory data.
GTAP Resources: Resource Display. "Global spatial data of 18 Agro-ecological Zones (AEZs)" by Ramankutty, T. Hertel, H.-L. Lee, and S.
Rose, Global Agricultural Land Use Data for Integrated Assessment Modeling, in Human-Induced Climate Change: An Interdisciplinary Assessment, edited by. ternational agricultural inventory statistics in order to create a high-resolution, geographically explicit data set of crop- lands at the global scale.
This data set represents the state of global croplands during the early s by effectively com- bining non-spatial statistics data (e.g., agricultural invento. Improved Spatial Data Management is Necessary to Mitigate HWC With the advancement in science and technology, much of the primary data collected nowadays are geo-referenced.
Spatial Data Analysis in Ecology and Agriculture Using R, 2 nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science.
Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user. The maps show the extent and intensity of agricultural land use on earth.
The data were compiled by Navin Ramankutty et al. This Web site provides access to the spatial data sets described in Ramankutty’s paper in the journal Global Biogeochemical Cycles.
Users may download the data as one global grid or as a grid for each of the six. horizontal, and mean sea level (the geoid) as origin for vertical. The author suggests an alternative option for spatial-data users: a Global Spatial Data Model (GSDM) that has a single origin for geospatial data.
With the advent of computers, electronic files and modern measuring systems, geospatial data is now digital and 3D. In years. Spatial Analysis, Land Use and the Environment (January 22th t ) Overview and Purpose: All economic activities have a spatial dimension, which is particularly important in the interface between the economy and the environment.
However, this dimension is rarely taken into account when designing economic policies. Currently the CGIS is focusing on plans for a clearinghouse for humanitarian demining spatial data.
The database clearinghouse will enable the demining community to access information about spatial data sources over the World Wide Web and will provide digital maps.
Kraenzle H. () GIS and Spatial Databases for Land Mine Mapping. In. Precision Agriculture is a methodology of farm management that relies on data, and data analysis to support the farmer’s decision-making process to decrease inputs.
The origin of Precision Agriculture begins with researchers collecting soil samples, and using spatial statistics methods to determine the different soil types in a field.Detailed international and regional statistics on more than indicators for Economics, Energy, Demographics, Commodities and other topics.
Tables, charts, maps free to download, export and share.Understanding, therefore, how agricultural land use might respond to global environmental change drivers is a research question of considerable importance.
The first step, however, in projecting potential future changes in agricultural land use is to be able to understand and represent in models both the socio-economic and physical processes.