These large-scale urban projects provoke both positive and negative feelings by the people, particularly with respect to the perceptual qualities of the plans. But also from an objective point of view spatial interventions bring along with it positive and negative effects. A large-scale traffic ...
The multi-scale geographically weighted regression (MGWR) method allows different variables to have different bandwidths, which can produce more realistic and useful spatial process models. By applying the MGWR method, this study investigated the spatial heterogeneity and spatial scales of impact of ...
In this paper, the concept and characteristics of land quality and scale, methdology of spatial variability are first intruduced, then spatial variability and scale effects of land quality is streesed. At the same time, the development trends of land quality spatial variability and its relative...
等级体系the set of all the different levels of sth, from the lowest to the highest 衡量标度marks for measuring 4. [c] 标度;刻度a series of marks at regular intervals on an instrument that is used for measuring 衡器weighing instrument 5. [pl] 秤;磅秤;天平an instrument for weighing people...
Adequately understanding the spatial multi-scale relationships of ecosystem services (ES) is an important step for environmental management decision-making. Here, we used spatially explicit methods to estimate five critical ES (nitrogen and phosphorous p
Assessing the impact of renewable energy integration on energy efficiency within the China-Pakistan economic corridor (CPEC) Article Open access 26 November 2024 Introduction Due the to rising energy needs and changing energy mix, the spatial extent of the area required for electricity generation has...
large with a heterogeneous and fragmented distribution pattern.The tests on scale impacts show that the accuracy of surface imperviousness derived from the lower spatial resolution is higher than that from the high spatial resolution image.Accordingly,the impervious surface patterns are obviously different...
To overcome these limitations, we propose a multi-scale spatiotemporal graph convolution network (MST-GCN), which consists of a multi-scale block, several spatial-temporal blocks and a fusion block. We first divide the extracted features into several groups based on their domain categories, and ...
The spatial organization in the cell nucleus is tightly linked to genome functions such as gene regulation. Similarly, specific spatial arrangements of biological components such as macromolecular complexes, organelles and cells are involved in many biological functions. Spatial interactions among elementary...
To reveal the disparate impact of managed power outages on vulnerable subpopulations in Harris County, Texas, which encompasses the city of Houston, we collected and analyzed community-scale big data using statistical and trend classification analyses. The results highlight the spatial and temporal ...