Resultados de búsqueda - "statistics"

Rural labor migration, characteristics, and employment patterns: a study based on China's agricultural census por Tuan, Francis, Somwaru, Agapi, Diao, Xinshen

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A new two-decade (2001–2019) high-resolution agricultural primary productivity dataset for India por Gangopadhyay, Prasun K., Shirsath, Paresh B., Dadhwal, Vinay K., Aggarwal, Pramod K.

“…An additional dataset (NGPPCY-IN) is also derived from crop production statistics and RS GPP to translate district-level statistics at the pixel level. …”
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Where are the Poor? Mapping patterns of well-being in Uganda 1992 and 1999 por Emwanu, T., Okiira Okwi, P., Hoogeveen, J.G., Kristjanson, Patricia M.

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Geographic Dimensions of Well-Being in Kenya: Where are the Poor? From Districts to Locations (Volume One) por Ndeng'e, G., Opiyo, C., Mistiaen, J., Kristjanson, Patricia M.

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Modeling plant diseases spread. The case of Xylella fastidiosa in south-east Italy por Martínez-Minaya, Joaquín, Vicent, Antonio, López-Quílez, Antonio, Conesa, David

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Remote sensing as a monitoring tool for cropping area determination in smallholder agriculture in Tanzania and Uganda por International Potato Center

“…Unmanned Aerial Vehicle (UAV)-based remote sensing technology is a game changer in the gathering of agricultural statistics data. Relatively low-cost platforms, coupled with high quality sensors and sophisticated-yet-user-friendly processing techniques allows gathering of accurate crop statistics data at large extent, with minimal effect of clouds.…”
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Gender inequalities in ownership and control of land in Africa: Myths versus reality por Doss, Cheryl, Kovarik, Chiara, Peterman, Amber, Quisumbing, Agnes R., van den Bold, Mara

“…The third section presents new statistics from a variety of nationally representative and large-scale unpublished data on gender and land in Africa. …”
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Better Potato for a Better Life: Reducing Food Insecurity and Dependence on Cereals in Amhara Oromia, Tigray and SNNP regions of Ethiopia por International Potato Center

“…Unmanned Aerial Vehicle (UAV)-based remote sensing technology is a game changer in the gathering of agricultural statistics data. Relatively low-cost platforms, coupled with high quality sensors and sophisticated-yet-user-friendly processing techniques allows gathering of accurate crop statistics data at large extent, with minimal effect of clouds.…”
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Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003 por Dheeravath, Venkateswarlu, Thenkabail, Prasad S., Chandrakantha, G., Noojipady, P., Reddy, G.P.O., Biradar, Chandrashekhar M., Gumma, Murali K., Velpuri, Naga Manohar

“…The overarching goal of this research was to develop methods and protocols for mapping irrigated areas using a Moderate Resolution Imaging Spectroradiometer (MODIS) 500 m time series, to generate irrigated area statistics, and to compare these with ground- and census-based statistics. …”
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Ecogeographic land characterization map of the SADC region por Magos Brehm, Joana

“…A total of 16 ecogeographic categories were identified in the SADC region with distinct ecogeographic characteristiscs (see file 'ELC_SADC_region_statistics.xlsx'). The files made available here include: the raster file of the ELC map of the SADC region (which is composed of 16 different files) and an Excel file which describes the statistics (i.e. average, median, maximum, minimum and standard deviation) of each ecogeographic category present in the map ('ELC_SADC_region_statistics.xlsx').…”
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Linking smallholders to livestock markets: Combining market and household survey data in Tanzania por Pica-Ciamarra, U., Baker, Derek, Chassama, J., Fadiga, M.L., Nsiima, L.

“…Options to promote integration of household-level data and market data are discussed, which would facilitate the implementation of the Tanzania Statistical Master Plan and contribute to the implementation of the Global Strategy to Improve Agricultural and Rural Statistics…”
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Motiv och värdering vid köp av skogs- och lantbruksfastigheter i Kronoberg och Blekinge por Alkrot Eriksson, Anders

“…Some responses confirm previous statistics such as the valuation of forest land. The study shows that the valuation of fields and pasture is much lower than previous statistics for this region.…”

Intrahousehold welfare in rural Ethiopia por Fafchamps, Marcel, Kebede, Bereket, Quisumbing, Agnes R.

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Poverty and nutrition policy analysis: Using SPSS for survey data analysis por Salau, Sheu

“…To assist in ensuring that the poverty and nutrition policies and programs are supported by appropriate analysis, APSF, in collaboration with the National Bureau of Statistics, organized a 4-day training course on Poverty and Nutrition Policy Analysis, from October 6-9, 2008 at the National Bureau of Statistics’ training room. …”
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Social Accounting Matrices for the Gambia, Liberia, Mauritania and Sierra Leone por Fofana, Ismaël, Balma, Lancia, Traoré, Fousseini, Kane, Dieynaba

“…Data sources include national accounts, government financial statistics, balance of payments, and international trade statistics. …”
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Stepwise multiple regression method to forecast fish landing por Ghani, I.M. Md, Ahmad, Shahid

“…There are six types of linear regression analyses that available in statistics which are simple linear regression, multiple linear regressions, logistic regression, ordinal regression, multinominal regression and descriminant analysis. …”
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Impacts of prime-age adult mortality on labour supply: Evidence from adolescents and women in South Africa por Yamauchi, Futoshi, Buthelezi, Thabani, Velia, Myriam

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Semi-parametric generalized estimating equations for repeated measurements in cross-over designs por Cruz, N. A., Melo, O.O., Martinez, C.A.

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Spatial integration and price transmission in selected rural and urban markets for cassava fresh roots in Nigeria por Ojiako, I.A., Tarawali, G., Ezedinma, C.I., Okechukwu, R.U.

“…Individual unit roots tests revealed non-stationarity in the price series - rural and urban prices were integrated of order one. The ADF-test statistics for the rural and urban prices were -1.42 and -2.46 in levels and -9.67 and -10.75 in first differences. …”
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Downscaling Regional Crop Yields to Local Scale Using Remote Sensing por Shirsath, Paresh Bhaskar, Sehgal, Vinay K, Aggarwal, Pramod K.

“…We also quantified the error in the disaggregated statistics to ascertain its usefulness for crop insurance purposes. …”
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