Search published articles

Showing 3 results for Ols

Saeed Balyani,
Volume 16, Issue 43 (12-2016)

Knowing of precipitation values in different regions is always of main and strategic issues of human which has important role in short- term and long-term decisions. In order to determine of precipitation model and forecasting it, there are different models, but given that the precipitation data have a spatial autocorrelation, the spatial statistic is a powerful tool to recognition of spatial behaviors. In this research, for determine of precipitation model and predicting of it with geographical factors e.g. altitude, slope and view shade and latitude- longitude by using spatial regressions analysis such as ordinary least squares (OLS) and geographical weighted regressions(GWR), 13 synoptic stations of Khuzestan province from establishment to 2010 were used. Results showed a powerful correlation between precipitations with geographical factors. Also results of modeling through OLS and GWR representative that forecasting of GWR is close to reality, so that in GWR, the sum of errors of residuals is less, the AWT IMAGE is more and there aren't any spatial autocorrelation in residuals and the residuals are normal. The AWT IMAGEof OLS can only justify 75 percent of precipitation variations with spatial factors while in GWR this quantity is 82- 97 percent. Accordingly, it was found that, in east, northeast and north of province the altitudes, in east and northeast and Zagros Mountains the view shade and slope are the most important spatial factors, respectively.

Hossein Asakereh, Robab Razmi,
Volume 18, Issue 50 (3-2018)

In the present study, the main aim was the spatial evaluation summer rainfall of northwest of Iran based on30 stations in northwest of Iran during 30 years of statistical period (1985-2014). An attempt, using geo-statistical modeling by ordinary least squares (OLS) and geographically weighted regression (GWR) procedures, was also made. The results represented that the GWR model with higher S2, lower residuals and lower RMSE is an optimized geo-statistical model for rainfall modeling of this area. This model can explain spatio-temporal rainfall distribution in northwest of Iran in a diversified topographical and geographical background. This model revealed that two spatial factors including elevation and slope, have the most important role in the summer rainfall behavior.Therefore Elevations in the mountainous and eastern parts of Lake Urmia, Latitude in the northern regions and slopes in the east of the region, have the most role in the spatial variations of summer precipitation in northwestern Iran.

Habibollah Fasihi,
Volume 19, Issue 55 (12-2019)

In urban planning, proper distribution of facilities and educational services is important, because only if there is an equity in the distribution of services and land uses, it will be possible for all residents to take advantage from them. The purpose of this paper is to investigate the spatial distribution of schools and the accessibility of households to public education schools in 20th district of Tehran.The research method was descriptive-analytical based on the data and information provided by the education departments. In order to analyzing the spatial distribution of schools we used spatial analysis models in GIS including the nearest neighboring index; multi-spatial analysis and Moran index. Buffer technique has been used to analyze access to public education schools.  Findings showed that all the schools at different levels from primary, secondary, to vocational   schools had a cluster pattern of spatial distribution.  The distribution of public education schools (primary and first period of secondary schools) had a more clustered pattern compared to the specialized schools. 29.9% of the area was not inside the access area of boys' elementary schools. The out of access area of girls' elementary schools,  first period boys' high schools and the  girls' ones were 6,27, 13/7 and 3/7 percent respectively. While some parts of the study region were outside of schools access areas, In some other parts,  5 access areas of elementary schools and 7 access area of first period high schools were overlaid. This also reflects the unequal spatial distribution of schools in the region.

Page 1 from 1     

© 2024 CC BY-NC 4.0 | Applied researches in Geographical Sciences

Designed & Developed by : Yektaweb