نتایج جستجو برای: modern spatial statistics method such as spatial auto correlation global moran

تعداد نتایج: 7396464  

Journal: :پژوهش های جغرافیای طبیعی 0
علی نصیری استادیار گروه علمی دانشگاه پیام نور، تهران، ایران

introductionin the modern era of communication, by increasing population the resources would be relativelyscarce. therefore, in order to deal with environmental serious problems and complex humanclimaterelationship in all dimensions of spatiotemporal and land use planning and programmingpractices, the climatic zone map was a sustainable developmental tool in the study area.methodologythe climat...

Journal: :Revista brasileira de psiquiatria 2012
Luciene Bolzam Macente Eliana Zandonade

OBJECTIVE To analyze the spatial distribution of suicide incidence rate in a residential municipality of the state of Espírito Santo (ES), Brazil, from 2003 to 2007. METHODS Ecologic study of the exploratory kind, based on secondary data. Deaths per suicide, which took place in each municipality of ES, were included in the data according to information provided by the Mortality Information Sy...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تبریز - دانشکده ادبیات و زبانهای خارجی 1393

for several years, researchers in familiarity of efl teachers with post-method and its role in second and foreign language learners’ productions have pointed out that the opportunity to plan for a task generally develops language learners’ development (ellis, 2005). it is important to mention that the critical varies in language teaching was shown is the disappearances of the concept of method ...

H. Kia-Daliri R. Akhavan V. Etemad

Estimation and mapping of forest resources are preconditions for management, planning and research. In this study, we applied kriging interpolation of geostatistics for estimation and mapping of forest stock at-tributes in a natural, uneven-aged, unmanaged forest in the Caspian region of northern Iran. The site of the study has an area of 516 ha and an elevation that ranges from 1100 to 1450 m ...

Considering the vast application of sea surface temperature in climatic and oceanic investigations, this parameter was studied in Oman Sea from 1986 to 2015. The SST was surveyed using trend analysis and Global and local Moran’s I spatial autocorrelation. In trend analysis, the Mann-Kendall test was used to determine the trend of SST changes and the Sen's Estimator method was used to examine th...

Journal: :فیزیک زمین و فضا 0
حمید نظری پور استادیار آب و هواشناسی، گروه محیط زیست، پژوهشکده علوم محیطی، پژوهشگاه علوم و تکنولوژی پیشرفته و علوم محیطی، دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته کرمان، ایران مهدی دوستکامیان دانشجوی دکتری آب و هواشناسی، گروه جغرافیا، دانشکده علوم انسانی، دانشگاه زنجان، ایران سارا علیزاده دانشجوی کارشناسی ارشد آب و هواشناسی، دانشکده علوم جغرافیایی، دانشگاه خوارزمی، تهران، ایران

spatial autocorrelation (sa) is the correlations of the observed data of an area in the form of spatial pattern. the criterion of sa phenomenon occurrence is when the distribution of one observed variable value follows a particular pattern systematically. the sa analysis is most useful and an important tool for investigating the spatial database, this analysis not only itself gives useful infor...

Spatial analysis as the main approach of geography was reviewed and searched through its historical development. The results of this exploratory research showed that this approach was born after the Second World War due to the overall interest of geographers to develop universal theories and laws. The advocators of this field believed that the old regional geography was not able to develop ...

The present paper deals with the analysis and analysis of spatial justice and its relation with social capital using descriptive-analytical research method. To assess spatial justice, the distribution of urban facilities and their per capita amount (per capita of religious, educational, medical, green, cultural, etc.) are used at local level. Then, they have been ranked by the multi-criteria de...

Aboveground biomass (AGB) of forests is an essential component of the global carbon cycle. Mapping above-ground biomass is important for estimating CO2 emissions, and planning and monitoring of forests and ecosystem productivity. Remote sensing provides wide observations to monitor forest coverage, the Landsat 8 mission provides valuable opportunities for quantifying the distribution of above-g...

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