Search Results - Spatial analysis (Statistics)

  1. Inferring population history from fine-scale spatial genetic analysis in Oryza rufipogon (Poaceae) by Xu, Xian, Lu, Bao-Rong, Chen, Yolanda H., Xu, Ming, Rong, Jun, Ye, Pingyang, Chen, Jiakuan, Song, Zhiping

    Published 2006
    “…One subpopulation was composed of possible introgressed individuals, two subpopulations were composed of seed recruits and their descendants, and the fourth subpopulation consisted of reintroduced individuals, seed recruits and their descendants. Positive spatial genetic structures were detected by spatial autocorrelation statistics at the population (c. 63 m) and subpopulation levels (11–30 m), but the degree of autocorrelation was stronger at the population level. …”
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    Journal Article
  2. Short range spatial variability of soil physico-chemical variables related to earthworm clustering in a Neotropical gallery forest by Jiménez, J.J., Decaëns, Thibaud, Amézquita Collazos, Edgar, Rao, Idupulapati M., Thomas, Richard J., Lavelle, Patrick M.

    Published 2011
    “…Non-parametric statistics were used and included SADIE analysis and partial Mantel test, in addition to geostatistics (semi-variograms) and correlogram computation. …”
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    Journal Article
  3. Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina by Belaber, Ector C., Gauchat, Maria Elena, Rodriguez, Gustavo Hernan, Borralho, Nuno M., Cappa, Eduardo Pablo

    Published 2018
    “…The average individual-tree narrow-sense heritability estimates based on this spatial analysis were 0.49 for diameter at breast height, 0.36 for total height, and 0.48 for volume, with stem straightness being low to moderate (average = 0.11). …”
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    Artículo
  4. Spatial Variability of Soil Acidity and Lime Requirements for Potato Cultivation in the Huánuco Highlands by Quispe Matos, Kenyi Rolando, Mejía, Sharon, Carbajal Llosa, Carlos Miguel, Alejandro Mendez, Lidiana Rene, Verástegui Martinez, Patricia, Solórzano Acosta, Richard Andi

    Published 2025
    “…The soil samples were collected from five locations in the province of Pachitea, Huánuco. Descriptive statistics, principal component analysis (PCA), and Pearson correlation analysis were used to identify the soil properties contributing most to total variance and those most strongly correlated with soil acidity. …”
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    Artículo
  5. An annual agricultural production statistics system for Uganda: Design considerations by Muwanga-Zake, E. S. K.

    Published 2009
    “…The main objective of agricultural statistics is to provide information on agricultural production. …”
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    Brief
  6. Spatial differences in diet quality and economic vulnerability to food insecurity in Bangladesh: Results from the 2016 household income and expenditure survey by Mitu, Mst. Maxim Parvin, Islam, Khaleda, Sarwar, Sneha, Ali, Masum, Amin, Md. Ruhul

    Published 2022
    “…Both statistical and spatial analyses were applied while assessing diet qualities in terms of the household dietary diversity score (HDDS), percentage of food energy from staples (PFES), and percentage of expenditure on food (PEF) as an indicator of the economic vulnerability to food insecurity (EVFI). …”
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    Journal Article
  7. Assessing spatial genetic structure from molecular marker data via principal component analyses: a case study in a Prosopis sp. fores by Teich, Ingrid, Verga, Anibal Ramón, Balzarini, Mónica Graciela

    Published 2019
    “…Most methods in spatial statistics are devoted to univariate data whereas the nature of molecular marker data is highly dimensional. …”
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    Artículo
  8. Spatially distributed freshwater demand for electricity in Africa by Gerbens-Leenes, P. W., Vaca-Jiménez, S. D., Holmatov, Bunyod, Vanham, Davy

    Published 2024
    “…Here we provide the spatially most detailed analysis presently available on freshwater demand for electricity for the recent year 2020, covering the whole of Africa. …”
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    Journal Article
  9. Assessment of water availability and consumption in the Karkheh River Basin, Iran using remote sensing and geo-statistics by Muthuwatta, Lal P., Ahmad, Mobin-ud-Din, Bos, M.G., Rientjes, T.H.M.

    Published 2010
    “…Precipitation was estimated using geo-statistical techniques while a Surface Energy Balance approach was selected for evapotranspiration estimation. …”
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    Journal Article
  10. Spatial interpolation of soil hydraulic properties and simulated rice yield by Wopereis, M.C.S., Stein, A., Kropff, M.J., Bouma, J.

    Published 1996
    “…A 60% increase in precision was achieved when relatively large management units were defined.A Geographical Information System was used to identify areas with greatest yield potential for rainfed dryland rice. Statistical analysis showed that the six soil units could be grouped into three yield classes. …”
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    Journal Article
  11. Spatial dissociation between two endogeic earthworms in the Colombian "Llanos" by Jiménez Jaén, J.J., Rossi, J.P.

    Published 2006
    “…However, the available statistical analyses show that the proportion of the population spatial variance that can be ascribed to soil habitat variability is modest. …”
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    Journal Article

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