Resultados de búsqueda - Spatial analysis (Statistics)

  1. Improved seasonal prediction of rainfall over East Africa for application in agriculture: Statistical downscaling of CFSv2 and GFDL-FLOR por Kipkogei, O, Mwanthi, AM, Mwesigwa, JB, Atheru, ZKK, Wanzala, MA, Artan, G

    Publicado 2017
    “…Statistically downscaled forecasts of October–December (OND) rainfall are evaluated over East Africa from two general circulation model (GCM) seasonal prediction systems. …”
    Enlace del recurso
    Journal Article
  2. Water-related environmental factors and malaria transmission in Mahi Kadana, Gujarat, India por Mutuwatte, L.P., Konradsen, Flemming, Renault, D., Sharma, S.K., Gulati, O.T., Kumara, W.A.U.

    Publicado 1997
    “…Analysis of the spatial and temporal relationship between malaria incidence and selected water-related environmental parameters . …”
    Enlace del recurso
    Artículo preliminar
  3. Grain marketing policy changes and spatial efficiency of maize and wheat markets in Ethiopia por Negassa, Asfaw, Myers, Robert J., Gabre-Madhin, Eleni Zaude

    Publicado 2004
    “…The standard parity bounds model (PBM), while it overcomes many weaknesses of the conventional methods of spatial market efficiency analysis, it does not allow for the test of structural changes in spatial market efficiency as a result of policy changes. …”
    Enlace del recurso
    Artículo preliminar
  4. Impacts of spatial and temporal station availability on gridded precipitation products in Central America por González‐Méndez, Isabel, Pons, Diego, Anderson, Talia G., Ayes-Rivera, Irma, Anchukaitis, Kevin J.

    Publicado 2025
    “…Using a point (station)‐to‐pixel comparison and a grid‐by‐grid spatial decorrelation analysis, we assess gridded data set accuracy and examine how station coverage affects precipitation trend detection. …”
    Enlace del recurso
    Journal Article
  5. Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia por Abera, Wuletawu, Tamene, Lulseged D., Abegaz, Assefa, Hailu, Habtamu, Piikki, Kristin, Soderstrom, Mats, Girvetz, Evan Hartunian, Sommer, Rolf

    Publicado 2021
    “…A total of 397 auger composite samples from the topsoil (0–20 cm depth) were collected in 2010, and the same number of samples were collected from the same locations in 2018. We used simple statistics to assess the SOC change between the two periods, and machine learning models to predict SOC stock spatially. …”
    Enlace del recurso
    Journal Article
  6. Highly structured spatial models as a tool for analyzing the spread of diseases and species distributions por Martínez-Minaya, Joaquín, Vicent, Antonio, López-Quílez, Antonio, Picó, F.X., Marcer, A., Conesa, David

    Publicado 2018
    “…Complexity in these models arises for instance when including the use of beta likelihoods and spatial e ects. This complexity makes the inferential and predictive processes challenging to perform. …”
    Enlace del recurso
    Enlace del recurso
    Objeto de conferencia
  7. “Did you control for rainfall?”: Geospatial weather data, measurement error and the consistency of farm model estimates in Ethiopia por Bisrat Gebrekidan, Chamberlin, Jordan

    Publicado 2024
    “…This proliferation of publicly-accessible rainfall data has changed how empirical analysis of farm production and productivity takes place: fortifying survey-derived data (e.g., on farm management and production outcomes) with spatial estimates of seasonal rainfall outcomes is now standard practice, much to the benefit of applied agricultural economic analysis. …”
    Enlace del recurso
    Informe técnico
  8. Estimating the spatial variability of water consumption in the Karkheh River Basin, Iran - using MODIS data por Muthuwatta, Lal P., Ahmad, Mobin-ud-Din, Rientjes, T.H.M., Bos, M.G.

    Publicado 2010
    “…Satellite data along with the SEBS algorithm and geo-statistical techniques are effective to estimate spatial patterns of water consumption and availability. …”
    Enlace del recurso
    Journal Article
  9. Generating plausible crop distribution maps for Sub-Saharan Africa using a spatial allocation model por You, Liangzhi, Wood, Stanley, Wood-Sichra, Ulrike, Chamberlin, Jordan

    Publicado 2007
    “…Such geographically coarse data are unable to reflect important variations within countries and are insufficient for the spatial analysis of production patterns and trends. …”
    Enlace del recurso
    Journal Article
  10. Spatial and temporal infestation rates of Apate terebrans (Coleoptera: bostrichidae) in cashew orchards in Benin, west Africa por Agboton, C., Onzo, A., Korie, S., Tamo, Manuele, Vidal, S.

    Publicado 2017
    “…Aggregation indices calculated using Taylor's power law indicated that A. terebrans has an aggregated spatial distribution. Values of the Spatial Analysis by Distance IndicEs (SADIE) index indicated that the spatial pattern of the infestation in a given year does not depend on the pattern observed in the previous years, suggesting that A. terebrans generally prefers to infest new trees. …”
    Enlace del recurso
    Journal Article
  11. Spatial dynamics of a Sirex noctilio woodwasp population within a pine plantation in Patagonia, Argentina por Corley, Juan Carlos, Villacide, Jose Maria, Bruzzone, Octavio Augusto

    Publicado 2019
    “…Among a total of 53 649 counted trees, attack rates were low during the study period (accumulated attack below 0.5%). Results of spatial statistical analysis showed that woodwasp attack is highly clumped, and that spatial aggregation increases with time, even with increasing numbers of attacked trees. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Artículo
  12. Spatial Distribution of Cadmium in Avocado-Cultivated Soils of Peru: Influence of Parent Material, Exchangeable Cations, and Trace Elements por Solórzano Acosta, Richard Andi, Llerena Arroyo, Rigel Arturo, Mejía Maita, Sharon, Cruz Luis, Juancarlos Alejandro, Quispe Matos, Kenyi Rolando

    Publicado 2025
    “…For data analysis, we applied (1) univariate statistics (skewness, kurtosis); (2) multivariate methods such as Spearman correlations and principal component analysis (PCA); (3) spatial modeling using the Geodetector tool; and (4) non-parametric testing (Kruskal–Wallis test with Dunn’s post hoc test). …”
    Enlace del recurso
    Enlace del recurso
    Artículo
  13. Geospatial variation in dietary patterns and their association with heart disease in Bangladeshi population: Evidence from a nationwide survey por Hassan, Rafid, Ali, Masum, Saha, Sanjib, Akhter, Sadika, Amin, Md. Ruhul

    Publicado 2024
    “…Both statistical and spatial analyses were performed. The overall prevalence of heart disease was 3.6%, with a variation of 0.6% to 10.4% across districts of Bangladesh. …”
    Enlace del recurso
    Journal Article
  14. A hierarchical method for soil erosion assessment and spatial risk modelling: a case study of Kiambu district in Kenya. por Okoth, Peter F.

    Publicado 2003
    “…Statistical analysis and spatial modelling of erosion risk in a GIS followed the first three steps. …”
    Enlace del recurso
    Tesis
  15. Spatial examination of social and environmental drivers of Middle East respiratory syndrome coronavirus (MERS-CoV) across Kenya por Lawrence, T.J., Kangogo, G.K., Fredman, A., Deem, S.L., Fèvre, Eric M., Gluecks, Ilona, Brien, J.D., Shacham E.

    Publicado 2024
    “…To answer our questions, we analyzed the spatial distribution of historical cases based on serological evidence of MERS-CoV at the county level and applied spatial statistical analysis to examine the spatial relationships of the MERS-CoV cases between 2016 and 2018 to climate, agriculture, and socio-demographic factors of agro-pastoralism. …”
    Enlace del recurso
    Journal Article

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