6 results for “geographical spatial models”

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Research ArticleOpen accessIn the keywordsSome Fast Methods for Fitting Some One-parameter Spatial ModelsR. J. MartinIt is common in geographic modelling to use a one-parameter spatial model to specify the inverse covariance matrix in terms of I-βW, for some known matrix W. Exact Gaussian maximum likelihood estimation of β requires evaluation of the determinant of the covariance matrix. For large data sets, this evaluation of the determinant can be slow and good approximations can be … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,066 accessesView PDF Cite

Research ArticleOpen accessIn the abstractClassification of Geographical Land Structure Using Convolution Neural Network and Transfer LearningMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariSatellite imagery has dramatically revolutionized the field of geography by giving academics, scientists, and policymakers unprecedented global access to spatial data. Manual methods typically require significant time and effort to detect the generic land structure in satellite images. This study can produce a set of applications such as urban planning and development, environmental monitoring, disaster management, etc. Therefore, the research … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 5,079 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDeterminants of Spatial Patterns of Sex Ratio in Haryana, IndiaSangeeta Rani, Javaid Ahmad TaliThe sex ratio is an important social indicator of gender equality and status in a society. As such, it also reveals social development of a society. In a society wherein gender discrimination is in practice and devaluation of women is prevalent, sex-selective feticide, female infanticide, death of girl child’s due to neglect and discrimination in food as well as in … …Journal of Social Sciences, Vol. 13, Issue 1 · 31 Jan 2017 · 8,180 accessesView PDF Cite

Research ArticleOpen accessIn the abstractZero Inflated Poisson and Geographically Weighted Zero- Inflated Poisson Regression Model: Application to Elephantiasis (Filariasis) Counts DataPurhadi, Yuliani Setia Dewi, Luthfatul AmalianaPoisson regression has been widely used for modeling counts data. Violation of equidispersion assumption can occur when there are excess of zeros of the data. For that condition we can use Zero-Inflated Poisson (ZIP) to analyze such data, resulting global parameter estimates. However spatial data from various locations have their own characteristics depend on their socio-cultural, geographical and economic conditions. … …Journal of Mathematics and Statistics, Vol. 11, Issue 2 · 29 Sep 2015 · 8,324 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThe Impact of Climate Change Upon Winter RainfallNuman Shehadeh, Sabah AnanbehClimatic models that project the impact of climate change upon rainfall in the Eastern Mediterranean region predict that the negative impact will be more pronounced upon winter rainfall rather than Fall or Spring rainfall where instability conditions become more pronounced. Those models, also, predict that, due to the great geographical diversity, projected rainfall trends in the above region will show … …American Journal of Environmental Sciences, Vol. 9, Issue 1 · 24 Feb 2013 · 7,569 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordEvaluating Methods of Estimation and Modelling Spatial Distribution of Evapotranspiration in the Middle Heihe River Basin, ChinaChuanyan Zhao, Zhongren Nan, Guodong ChengSeven models commonly used to estimate the daily reference evapotranspiration (ET0) were evaluated in the middle Heihe River Basin of the arid northwestern part of China. The objectives of the study are to choose the appropriate model for estimating the areal distribution of ET0 and to explain the spatial-temporal distribution of the same through GIS in the study area. The … …American Journal of Environmental Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 6,819 accessesView PDF Cite