Temporal and Spatial Dynamics of the New Residential Areas around Tallinn

2009 ◽  
Vol 17 (3) ◽  
pp. 423-439 ◽  
Author(s):  
Tiit Tammaru ◽  
Kadri Leetmaa ◽  
Siiri Silm ◽  
Rein Ahas
Keyword(s):  
Spatial Dynamics ◽  
Residential Areas ◽  
Temporal And Spatial

scholarly journals Bus ridership and its determinants in Beijing: A spatial econometric perspective

2022 ◽  
Author(s):  
Jiaoe Wang ◽  
Yanan Li ◽  
Jingjuan Jiao ◽  
Haitao Jin ◽  
Fangye Du
Keyword(s):  
Spatial Autocorrelation ◽  
Temporal Dynamics ◽  
Spatial Dynamics ◽  
Central Business District ◽  
Analytical Framework ◽  
Residential Areas ◽  
Basic Study ◽  
Factors Affecting ◽  
Temporal And Spatial ◽  
Business District

AbstractUnderstanding the temporal and spatial dynamics and determinants of public transport ridership play an important role in urban planning. Previous studies have focused on exploring the determinants at the station level using global models, or a local model, geographically weighted regression (GWR), which cannot reveal spatial autocorrelation at the global level. This study explores the factors affecting bus ridership considering spatial autocorrelation using the spatial Durbin model (SDM). Taking the community in Beijing as the basic study unit, this study aims to explore the temporal and spatial dynamics of bus ridership and identify its key determinants considering neighboring effects. The results show the following: (1) The temporal dynamics are quite distinct on weekdays and weekends as well as at different time slots of the day. (2) The spatial patterns of bus ridership varied across different time slots, and the hot areas are mainly located near the central business district (CBD), transport hubs, and residential areas. (3) Key determinants of bus ridership varied across weekends and weekdays and varied at different time slots per day. (4) The spatial neighboring effects had been verified. This study provides a common analytical framework for analyzing the spatiotemporal dynamics and determinants of bus ridership at the community level.

Temporal and spatial dynamics of pulse production in India

2017 ◽  
Author(s):  
International Food Policy Research Institute (IFPRI)
Keyword(s):  
Spatial Dynamics ◽  
Temporal And Spatial ◽  
Pulse Production

scholarly journals Large-Scale Analysis of the Spatiotemporal Changes of Net Ecosystem Production in Hindu Kush Himalayan Region

2021 ◽  
Vol 13 (6) ◽  
pp. 1180
Author(s):  
Da Guo ◽  
Xiaoning Song ◽  
Ronghai Hu ◽  
Xinming Zhu ◽  
Yazhen Jiang ◽  
...  
Keyword(s):  
Large Scale ◽  
Net Primary Production ◽  
Carbon Sink ◽  
Carbon Sources ◽  
Spatial Dynamics ◽  
Tibet Plateau ◽  
Geostatistical Model ◽  
Hindu Kush ◽  
Temporal And Spatial ◽  
The Difference

The Hindu Kush Himalayan (HKH) region is one of the most ecologically vulnerable regions in the world. Several studies have been conducted on the dynamic changes of grassland in the HKH region, but few have considered grassland net ecosystem productivity (NEP). In this study, we quantitatively analyzed the temporal and spatial changes of NEP magnitude and the influence of climate factors on the HKH region from 2001 to 2018. The NEP magnitude was obtained by calculating the difference between the net primary production (NPP) estimated by the Carnegie–Ames Stanford Approach (CASA) model and the heterotrophic respiration (Rh) estimated by the geostatistical model. The results showed that the grassland ecosystem in the HKH region exhibited weak net carbon uptake with NEP values of 42.03 gC∙m−2∙yr−1, and the total net carbon sequestration was 0.077 Pg C. The distribution of NEP gradually increased from west to east, and in the Qinghai–Tibet Plateau, it gradually increased from northwest to southeast. The grassland carbon sources and sinks differed at different altitudes. The grassland was a carbon sink at 3000–5000 m, while grasslands below 3000 m and above 5000 m were carbon sources. Grassland NEP exhibited the strongest correlation with precipitation, and it had a lagging effect on precipitation. The correlation between NEP and the precipitation of the previous year was stronger than that of the current year. NEP was negatively correlated with temperature but not with solar radiation. The study of the temporal and spatial dynamics of NEP in the HKH region can provide a theoretical basis to help herders balance grazing and forage.

Temporal and spatial dynamics of arthropod groups in terrestrial subsurface habitats in central Portugal

Zoology ◽  
2021 ◽  
pp. 125931
Author(s):  
R.P. Eusébio ◽  
H. Enghoff ◽  
A. Solodovnikov ◽  
A. Michelsen ◽  
P. Barranco ◽  
...  
Keyword(s):  
Spatial Dynamics ◽  
Central Portugal ◽  
Temporal And Spatial ◽  
Terrestrial Subsurface

Temporal and spatial dynamics of watermelon gummy stem blight epidemics

2010 ◽  
Vol 128 (4) ◽  
pp. 473-482 ◽  
Author(s):  
Adalberto C. Café-Filho ◽  
Gil R. Santos ◽  
Francisco F. Laranjeira
Keyword(s):  
Spatial Dynamics ◽  
Stem Blight ◽  
Gummy Stem Blight ◽  
Temporal And Spatial
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