GIS

More fragmentized urban form more CO$_2$ emissions? A comprehensive relationship from the combination analysis across different scales

The “Scale effect” has always been the hot topic in landscape ecology research. Although, there are many studies on the driving force of urban environmental problems by using landscape metrics. Most studies are carried out in regional, continental and global scales. However, in this study, we explored the relationship between the urban form fragmentation and $CO_2$ emissions in the city scale from the perspective of dual resolution sizes and summarized the research conclusions that can be used in urban internal management based on the analysis results of small towns.

The impacts of climate and land use/land cover changes on water yield service in Ningbo region(Chinese)

Providing water resources is one of the most important ecosystem services functions and plays an important role in the sustainable development of regional economy and ecosystem. In recent years, the increased demand for water resources, water …

Creating a Carbon Source and Sink Map by Coupling an Ecological Process Model with an Emission Inventory to Study a Carbon Balance

Cities are typical sources of carbon and a focus of climate-change mitigation. Although there is great potential for reducing emissions in cities, constructing low-carbonemission cities under the carbon-emission reduction target of the 2016 Paris …

A GIS-based high spatial resolution assessment of large-scale PV generation potential in China

The achievement of temperature control target requires a low carbon transition of global energy structure. While China is actively promoting the implementation of large-scale PV generation technology, there is still a lack of scientific knowledge of …

PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015

High concentrations of PM2.5 are a primary cause of haze in the lower atmosphere. A better understanding of the spatial heterogeneity and driving factors of PM2.5 concentrations is important for effective regional prevention and control. In this …

Determining the Mechanisms that Influence the Surface Temperature of Urban Forest Canopies by Combining Remote Sensing Methods, Ground Observations, and Spatial Statistical Models

The spatiotemporal distribution pattern of the surface temperatures of urban forest canopies (STUFC) is influenced by many environmental factors, and the identification of interactions between these factors can improve simulations and predictions of …

Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient

Regional soil quality issues arising from rapid urbanization have received extensive attention. The riverbank that runs through a city is representative of urbanization gradient transformation. Thirty soil samples in the Yangtze River Delta urban …

Influence of Walking Environment on Robbery, Snatch and Theft Crime in Urban Area, H City, China(Chinese)

I hope to enrich the theory of criminal geography through empirical research and provide suggestions for crime prevention planning in Chinese cities. Could the theory of Jacobs(the eyes of street) be applied in Chinese cities?In fact, our results will tell you that the Chinese cities is qutie different from Western cities and the policy is not probably suitable.

The Scale Effect, Zoning Effect of Geographical Features, the Modified Areal Unit Problem and the Chanlleges of Spatial Stastistics

The modified aureal unit problem(MAUP) is a traditional scientific problem in geography and ecology. How MAUP influence the results?

Improving the prediction accuracy of forest aboveground biomass benchmark map by integrating machine learning and spatial statistics

We present a low-cost method to create high-precision, spatially explicit reference maps of large-scale forest aboveground biomass (AGB) to provide a scientific basis for quantitative assessment of forest management decisions involving, for example, …