Resultados de búsqueda - Spatial analysis (Statistics)

A data-driven approach to sub- seasonal drought forecasting in Bihar, India por Agudelo, Diego, Palomino, Andres, Mendez, Andres, Giraldo, Diana, Barrios, Camilo, Srivastava, Amit, Llanos, Lizeth, Ramirez, Julian

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Unleashing the potential of underutilized datasets to improve agricultural decision-making through comprehensive data analysis: An example of rice crop manager (RCM) dataset por Gakhar, Shalini, Sharma, Sheetal

“…The proposed methodology involves extracting useful insights from the data by using statistics, artificial intelligence (AI), domain knowledge, and predictive analysis. …”
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Strategic approaches to targeting technology generation: assessing the coincidence of poverty and drought-prone crop production por Hyman, Glenn G., Fujisaka, Sam, Jones, Peter G., Wood, S., Vicente, M. Carmen de, Dixon, John A.

“…The analysis employed spatial overlay, drought modelling and descriptive statistics to identify where best to target technology generation to achieve its intended human welfare goals. …”
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Estimación de potencial hídrico en vid por medio de medidas termográficas y espectrales por Vila, Hernan Felix, Hugalde, Ines Pilar, Di Filippo, Marina Laura

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Using similarity analyses to scale out research findings across Andean watershed basins por Otero, M, Rubiano Mejía, Jorge Eliécer, Lema, G, Soto, V.

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The influence of groundwater abstraction on interpreting climate controls and extreme recharge events from well hydrographs in semi-arid South Africa por Sorensen, J. P. R., Davies, J., Lindle, J., Marchant, B. P., Ascott, M. J., Bloomfield, J.P., Cuthbert, M. O., Holland, M., Jensen, K.H., Shamsudduha, M., Villholth, Karen G., MacDonald, A. M., Taylor, R. G., Ebrahim, Girma Yimer

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Protocol for multivariate homogeneous zone delineation in precision agriculture por Córdoba, Mariano Augusto, Bruno, Cecilia, Costa, Jose Luis, Peralta, Nahuel, Balzarini, Mónica Graciela

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Drivers of afforestation in northern Vietnam: assessing local variations using geographically weighted regression por Clement, Floriane, Orange, Didier, Williams, M., Mulley, C., Epprecht, M.

“…This article identifies drivers of forest transition in a province of Northern Vietnam between 1993 and 2000 by applying geographically weighted regression (GWR) analysis to remotely sensed and statistical data. The regression model highlighted the spatial variation of the relationship between the percentage of land afforested and its proximate causes. …”
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Delineating a typology for co-designing whole farm prototypes under smallholder mixed farming systems in Malawi: Exploring options for sustainable intensification through legume in... por Kamwana, Florence, Chiduwa, Mazvita S., Groot, Jeroen C.J., Mabhaudhi, Tafadzwanashe

“…Principal component analysis (PCA), multiple correspondence analysis (MCA) and cluster analysis were used to analyse quantitative and qualitative data variables and aggregate farms into farm types according to production means, socio-economics and demographics. …”
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Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL 1.2 satellite-based data por Ceballos, Juan Carlos, Silva Porfirio, Anthony Carlos, Oricchio, Patricio, Posse Beaulieu, Gabriela

“…Completeness of GL time series and high spatial definition (0.04°) allowed further time and space analysis of solar radiation regime. …”
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Trends in ANPP response to temperature in wetland meadows across a subcontinental gradient in Patagonia por Irisarri, Jorge Gonzalo Nicolás, Cipriotti, Pablo Ariel, Texeira, Marcos, Curcio, Matías Hernán

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Evaluación económica de las pérdidas por granizo en los oasis de la provincia de Mendoza e identificación de eventos extremos por Van Den Bosch, María Eugenia

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Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool por Amarnath, Giriraj, Ghosh, Surajit, Alahacoon, Niranga

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Prospects of improving agricultural and water productivity through unmanned aerial vehicles por Nhamo, Luxon, Magidi, J., Nyamugama, A., Clulow, A.D., Sibanda, M., Chimonyo, Vimbayi Grace Petrova, Mabhaudhi, Tafadzwanashe

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Spatiotemporal associations in beetle and virus count data por Korie, S., Perry, J.N., Mugglestone, M.A., Clark, S.J., Thomas, C.F., Mohamad Roff, M.

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Downscaling livestock census data using multivariate predictive models: Sensitivity to modifiable areal unit problem por Re, D. da, Gilbert, Marius, Chaiban, C., Bourguignon, P., Thanapongtharm, Weerapong, Robinson, Timothy P., Vanwambeke, S.O.

“…The analysis of census data aggregated by administrative units introduces a statistical bias known as the modifiable areal unit problem (MAUP). …”
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Mapping and Inventory of Forest Fires in Andhra Pradesh, India: Current Status and Conservation Needs por Reddy, C.S, Krishna,P.H, Anitha, K., Joseph, S.

“…Advanced Wide Field Sensor (AWiFS) onboard on Indian Remote Sensing Satellite (IRS P6) was used for mapping and analyzing the spatial extent of burnt areas. Comparative analysis was carried out with respect to different forest types, protected areas and across elevation zones to demarcate and identify the fire-affected areas. …”
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Design and Development of a Digital Platform for Soil Health Monitoring and Management por Patil, Mukund, Burry, Sukanya, Katakamsetti, Nagendra, Choudhari, Pushpajeet L., Perumal, Cuba, Gogumalla, Pranuthi, Rozario, Gilbert, Shaik, Jameeruddin, Rupavatharam, Srikanth

“…The platform supports end-to-end workflows, including farmer and farm registration, geo-referenced soil sample collection, laboratory data entry, quality control, spatial analysis, and generation of soil fertility maps and fertilizer recommendations. …”
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Uncovering consistencies in Indian rainfall trends observed over the last half century por Lacombe, Guillaume, McCartney, Matthew P.

“…The mapping of gridded trend slopes and the regional average Kendall test were used concurrently to assess the field significance of regional trends in areas exhibiting spatial homogeneity in trend directions. The statistics we used account for temporal and spatial correlations, and thus reduce the risk of overestimating the significance of local and regional trends. …”
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Mid-Season High-Resolution Satellite Imagery for Forecasting Site-Specific Corn Yield por Peralta, Nahuel Raúl, Assefa, Yared, Du, Juan, Barden, Charles J., Ciampitti, Ignacio A.

“…Spatial autocorrelation analysis (Moran’s I test) for both yield and VIs (red edge NDVI = NDVIre, normalized difference vegetation index = NDVIr, SRre = red-edge simple ratio, near infrared = NIR and green-NDVI = NDVIG) was tested positive and statistically significant for most of the fields (p < 0.05), except for one. …”
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