Resultados de búsqueda - "geographic information system"

Determining the reliable scale when aggregating data to model risk of disease spread through mapping of animals movements. Combined use of Ripley K and Besag L functions applied on... por Bonnet, P., Jean-Baptiste, S., Lesnoff, Matthieu, Workalemu, A.

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Future water management in Sirsa district: options to improve water productivity por Droogers, Peter, Malik, R.S., Kroes, J.G., Bastiaanssen, Wim G.M., Dam, Jos C. van

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A regional approach to model water productivity por Kroes, J.G., Droogers, Peter, Kumar, R., Immerzeel, W.W., Khatri, R.S., Roelevink, A., Maat, H.W. ter, Dabas, D. S.

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Measuring the costs of African animal trypanosomosis, the potential benefits of control and returns to research por Kristjanson, Patricia M., Swallow, B.M., Rowlands, G.J., Kruska, Russell L., Leeuw, P.N. de

“…The approach, applicable to many livestock production constraints and technologies, uses geographic information systems (GIS) to spatially link a biophysical herd simulation model with an economic surplus model. …”
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Strategy and programme for ILRI information resources. 1998-2010 por International Livestock Research Institute

“…Other topics of discussion in this chapter inlcude Inter-disciplinary Group for Knowledge and Information Products and Services, ILRI and othe rproviders of information, document transfer between Addis and Nairobi, integrated library management, non-conventional literature, Geographic Information Systems, and ILRi public awareness activities. …”
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Land-use conflicts between biodiversity conservation and extractive industries in the Peruvian Andes por Bax, Vincent, Francesconi, Wendy, Delgado, Alexi

“…This study examines potential conflict between the location of extractive industry activities and biodiversity conservation in the Peruvian Andes. Using geographic information systems, we carry out overlay analyses to determine the spatial congruence between mineral mining, hydrocarbon and logging concessions, on the one hand, and the distribution of protected areas and endemic vertebrate species on the other. …”
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Rice phenotyping using unmanned aerial vehicles: Analyzing morphological characteristics and yield por Goigochea Pinchi, Diego, Vega Herrera, Sergio Sebastian, Torres Chavez, Edson Esmith, Archentti Reategui, Fernando, Barrera Torres, Ciceron, Dominguez Yap, Percy Luis, Ysuiza Perez, Alfredo, Perez Tello, Monica, Rios Rios, Raúl, Santillan Gonzáles, Manuel Dante, Ganoza Roncal, Jorge Juan, Ruiz Reyes, Jose Guillermo, Agurto Piñarreta, Alex Ivan

“…This underscores the need for hybridization and improvement of rice genotypes to meet food demand in an environmentally sustainable manner. Geographic Information Systems (GIS) have proven to be valuable tools for the morphometric phenotyping of different genotypes. …”
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Characterisation of a collection of perennial Panicum species por Wouw, M. van de, Jorge, M.A.B., Bierwirth, J., Hanson, Jean

“…Fifty-four accessions, for which coordinates of the collection site were available, were further characterised using environmental data obtained through use of geographic information systems. Three drought-tolerant species, P. antidotale, P. turgidum and P. phragmitoides, were very different agro-morphologically from the other species. …”
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Environmental impacts of trypanosomiasis control through land-use change: Conceptual model, approach and preliminary results por Reid, Robin S., Kruska, Russell L., Ellis, J.E., Wilson, C.J., Perry, Brian D.

“…The conceptual model integrates epidemiological, ecological, economic and social information into the study of control-induced changes in land-use at continental, regional, national and local scales. Geographical information systems (GIS) are used to generate hypotheses and to analyse broad-scale patterns, while field studies are used to establish causality and to ground-truth large-scale data sets. …”
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Mapping aflatoxin risk from milk consumption using biophysical and socio-economic data: A case study of Kenya por Ochungo, P., Lindahl, Johanna F., Kayano, T., Sirma, A.J., Senerwa, D.M., Kiama, T.N., Grace, Delia

“…This research reports a mapping of aflatoxin risk in the milk value chain in Kenya using a geographic information systems (GIS) approach. The objective was to spatially locate regions at risk by taking into account biophysical and socio-economic factors such as humidity and rainfall, dairy cattle density, maize production and travel time to urban centres. …”
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Spatial distribution of trypanosomes in cattle from western Kenya por Kivali, V., Kiyong'a, A.N., Fyfe, J., Toye, Philip G., Fèvre, Eric M., Cook, Elizabeth A.J.

“…Low-sensitive microscopic analysis and highly-sensitive polymerase chain reaction (PCR) techniques were also compared to better understand the epidemiology of Trypanosoma infections by use of the geographical information system (GIS). Blood samples from 888 cattle, collected between August 2010 and July 2012, were examined for Trypanosoma parasites by light microscopy and PCR. …”
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Monitoring and assessing the influence of social, economic and policy factors on sustainable land management in drylands por Nkonya, Ephraim M., Winslow, M., Reed, M. S., Mortimore, M., Mirzabaev, A.

“…Countries increasingly collect geo‐referenced socio‐economic data as part of regular censuses and surveys; the collection of information relevant to sustainable land management could be efficiently added to those exercises. Geographic information systems analysis and modeling can then link social, economic, and policy data with biophysical data to support decision‐making. …”
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Geographic distribution of cattle and shoats populations and their market supply sheds in Ethiopia por Jabbar, M.A., Negassa, A., Gidyelew, T.

“…This study attempts to fill this gap by producing maps based on Geographic Information Systems (GIS) of the geographical distribution of cattle and shoats' populations, major domestic markets, domestic and export market routes for livestock and their supply sheds in Ethiopia.…”
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Targeting dairy interventions in Kenya: a guide for development planners, researchers and extension workers por Ouma, R., Njoroge, L., Romney, Dannie L., Ochungo, P., Staal, Steven J., Baltenweck, Isabelle

“…Using a combination of Geographical Information Systems (GIS) mapping methods and economic regression techniques, this guide shows where and under what circumstances dairy technologies are most likely to succeed. …”
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Seeds for Needs – Papua New Guinea por Zanzanaini, Camilla

“…Researchers from the initiative began by characterizing the traits of these accessions, while at the same time, using Geographic Information Systems (GIS) technology to predict future climate scenarios in different parts of the country. …”
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The role of GIS in the development and targeting of maize germplasm to farmers in West and Central Africa por Menkir, A.

“…Recent advances in the development of digital spatial databases and geographic information systems (GIS) have provided unprecedented opportunities to use agroclimatic attributes to describe a geographical area. …”
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Market access, teff production, and fertilizer use over time por Kedir Jemal, Mekamu, Schmidt, Emily, Tilahun, Helina

“…The study covered in this chapter uses a rich set of data on agricultural indicators collected by Ethiopia’s Central Statistical Agency (CSA) as well as Geographic Information Systems (GIS) data on roads, agroecologies, and other biophysical information to analyze the transformation of teff production patterns in Ethiopia since 1997. …”
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Estimating sustainable timber production from tropical forests por Vanclay, J.K.

“…Remote sensing and geographic information systems offer several interesting possibilities for yield estimation, particularly for sensitivity testing, but are not without limitations. …”
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The Nile River Basin: Water, agriculture, governance and livelihoods por Awulachew, Seleshi Bekele, Smakhtin, Vladimir U., Molden, David J., Peden, Donald G.

“…It analyzes the basin characteristics using statistical data and modern tools such as remote sensing and geographic information systems. Population distribution, poverty and vulnerability linked to production system and water access are assessed at the international basin scale, and the hydrology of the region is also analysed. …”
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Spatial and temporal risk factors for the early detection of Trypanosoma brucei rhodesiense sleeping sickness patients in Tororo and Busia districts, Uganda por Odiit, M., Coleman, P.G., McDermott, John J., Fèvre, Eric M., Welburn, S.C., Woolhouse, Mark E.J.

“…The spatial distribution of early and late stage patient detection by health units was analysed using Geographical Information Systems (GIS). Of 1316 sleeping sickness patients admitted at the Livestock Health Research Institute and Busolwe hospitals and Lumino health centre from Tororo and Busia districts, 471 (35.8%) were early stage, 825 (62.7%) were late stage, while 20 (1.5%) were not staged. …”
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