检索结果-内蒙古大学图书馆

Characterizing changes in land cover and forest fragmentation from multitemporal Landsat observations(1993-2018)in the Dhorpatan Hunting Reserve,Nepal

引用

Journal of Forestry Research 2022年第1期33卷 159-170页

作者： Yali Zhang Sandeep Sharma Manjit Bista Mingshi Li College of Forestry Nanjing Forestry UniversityLongpan Road 159Nanjing 210037People’s Republic of China Department of National Parks and Wildlife Conservation Madanbhandari PathKathmandu 44600Nepal Co-Innovation Center for Sustainable Forestry in Southern China Nanjing Forestry UniversityLongpan Road 159Nanjing 210037People’s Republic of China

Natural forces and anthropogenic activities greatly alter land cover,deteriorate or alleviate forest fragmentation and affect *** land cover and forest fragmentation dynamics have become a focus of concern for natural resource management agencies and biodiversity conservation ***,there are few land cover datasets and forest fragmentation information available for the Dhorpatan Hunting Reserve(DHR)of Nepal to develop targeted biodiversity conservation *** this study,these gaps were filled by characterizing land cover and forest fragmentation trends in the *** five Landsat images between 1993 and 2018,a support vector machine algorithm was applied to classify six land cover classes:forest,grasslands,barren lands,agricultural and built-up areas,water bodies,and snow and ***,two landscape process models and four landscape metrics were used to depict the forest fragmentation *** showed that forest cover increased from 39.4%in 1993 to 39.8%in ***,grasslands decreased from 38.2%in 1993 to 36.9%in *** forest shrinkage was responsible for forest loss during the period,suggesting that the loss of forest cover reduced the connectivity between forest and nonforested *** was the dominant component of the forest restoration process,implying that it avoided the occurrence of isolated *** maximum value of edge density and perimeter area fractal dimension metrics and the minimum value of aggregation index were observed in 2011,revealing that forests in this year were most *** specific observations from the current analysis can help local authorities and local communities,who are highly dependent on forest resources,to better develop local forest management and biodiversity conservation plans.

关键词： Land cover Forest fragmentation spatial process model Fragstats

来源：评论

学校读者我要写书评

暂无评论

spatial interpolation of surface ozone observations using deep learning 15

Spatial interpolation of surface ozone observations using de...

引用

Conference on Remote Sensing and modeling of Ecosystems for Sustainability XV

作者： Chen, Maosi Sun, Zhibin Davis, John M. Liu, Chaoshun Gao, Wei Colorado State Univ USDA UV B Monitoring & Res Program Nat Resource Ecol Lab Ft Collins CO 80523 USA East China Normal Univ Key Lab Geog Informat Sci Minist Educ Shanghai Peoples R China Colorado State Univ Dept Ecosyst Sci & Sustainabil Ft Collins CO 80523 USA

ISBN: (纸本)9781510621060

Surface ozone can trigger many health problems for human (e.g. coughing, bronchitis, emphysema, and asthma), especially for children and the elderly. It also has harmful effects on plants (e.g. chlorosis, necrosis, and yield reduction). The United State (U.S.) Environmental Protection Agency (EPA) has been monitoring surface ozone concentrations across the U.S. since 1980s. However, their stations are sparsely distributed and mainly in urban areas. Evaluation of surface ozone effects at any given locations in the U.S. requires spatial interpolation of ozone observations. In this study, we implemented two traditional spatial interpolation methods (i.e. triangulation-based linear interpolation and geostatistics-based method). One limitation of these two methods is their reliance on single-scene observations in constructing the spatial relationship, which is prone to influence of noisy observations and has large uncertainty. Deep learning, on the other hand, is capable of simulating common patterns (including complex spatial patterns) from a large amount of training samples. Therefore, we also implemented three deep learning algorithms for the spatial interpolation problem: mixture model network (MoNet), Convolutional Neural Network for Graphs (ChebNet), and Recurrent Neural Network (RNN). The training and validation data of this study are the 2016 EPA hourly surface ozone observations within +/- 3-degree box centered at the Billings, Oklahoma station (USDA UV-B Monitoring and Research Program). The results showed that among the five methods, RNN and MoNet outperformed the two traditional spatial interpolation methods and RNN has the lowest validation error (mean absolute error: 2.82 ppb;standard deviation: 2.76 ppb). Finally, we used the integrated gradients method to analyze the attribution of RNN inputs on the surface ozone prediction. The results showed that surface ozone observation is the most important input feature followed by distance and absolute locations (i

关键词： Surface ozone spatial interpolation spatial process model Convolutional Neural Network for Graphs (ChebNet) mixture model network (MoNet) Recurrent Neural Network (RNN) Long Short-Term Memory (LSTM)

来源：评论

学校读者我要写书评

暂无评论

An Improved spatial process model for Mining Urban Traffic State Information from Macroscopic View

An Improved Spatial Process Model for Mining Urban Traffic S...

引用

2011 IEEE International Conference on spatial Data Mining and Geographical Knowledge Services(第一届空间数据挖掘与地理知识服务国际学术会议 ICSDM 2011)

作者： Haixiang Zou Yang Yue Qingquan Li Transportation Research Center State Key Lab of Information Engineering in Surveying Mapping and R Transportation Research Center State Key Lab of Information Engineering in Surveying Mapping and R

Traffic state is an important indicator and usually used for describing road network performance. Traditional traffic theory modeled traffic performance from fluid dynamics and time-series analysis. However, these models cannot obtain satisfactory result under real traffic situatuion, espcially macroscopic environment. From priori knowledge, within a discrete time interval, many of the vehicles that traverse one road link would traverse neighbor road links as well. Thus it is reasonable to think that traffic state of urban road network has spatial association. Therefore, firstly this paper verifies spatial correlation of urban traffic state using spatial statistics theory and represents the validity of study, then based on the stationary temporal nature of urban traffic state during typical traffic time periods, uses spatial process model to describe it in different time periods. The study is tested on Nanchang’s urban road network with sparse road link travel speeds derived from approximately 1,200 floating cars (GPS-enabled taxis). The experiment results show that spatial process model is reasonable and practical to describe complex urban traffic state from macroscopic view during fixed time period and especially, it is conceptually simple and thus, easy to achieve in practice. Therefore, this study can contribute to mine pontienal traffic information from spatial perspective and provide a new research idea for traffic state analysis and other relative traffic studies.

关键词： Geographic Information System for Transportation(GIS-T) traffic state analysis macroscopic urban traffic model, spatial statisties spatial process model

来源：评论

学校读者我要写书评

暂无评论

An Improved spatial process model for Mining Urban Traffic State Information from Macroscopic View

An Improved Spatial Process Model for Mining Urban Traffic S...

引用

2011 IEEE International Conference on spatial Data Mining and Geographical Knowledge Services(ICSDM 2011)

作者： Haixiang Zou~(#*1),Yang Yue~#,Qingquan Li~# # Transportation Research Center,State Key Lab of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,China * School of Remote Sensing and Information Engineering,Wuhan University,China

Traffic state is an important indicator and usually used for describing road network *** traffic theory modeled traffic performance from fluid dynamics and time-series ***,these models cannot obtain satisfactory result under real traffic situatuion,espcially macroscopic *** priori knowledge,within a discrete time interval,many of the vehicles that traverse one road link would traverse neighbor road links as *** it is reasonable to think that traffic state of urban road network has spatial ***,firstly this paper verifies spatial correlation of urban traffic state using spatial statistics theory and represents the validity of study,then based on the stationary temporal nature of urban traffic state during typical traffic time periods,uses spatial process model to describe it in different time *** study is tested on Nanchang's urban road network with sparse road link travel speeds derived from approximately 1,200 floating cars(GPS-enabled taxis).The experiment results show that spatial process model is reasonable and practical to describe complex urban traffic state from macroscopic view during fixed time period and especially,it is conceptually simple and thus,easy to achieve in ***,this study can contribute to mine pontienal traffic information from spatial perspective and provide a new research idea for traffic state analysis and other relative traffic studies.

关键词： Geographic Information System for Transportation(GIS-T) traffic state analysis macroscopic urban traffic model spatial statistics spatial process model

来源：评论

学校读者我要写书评

暂无评论

Hedonic approaches based on spatial econometrics and spatial statistics: application to evaluation of project benefits

引用

JOURNAL OF GEOGRAPHICAL SYSTEMS 2009年第4期11卷 357-380页

作者： Tsutsumi, Morito Seya, Hajime Univ Tsukuba Dept Policy & Planning Sci Tsukuba Ibaraki Japan PASCO Corp Meguro Ku Tokyo Japan

This study discusses the theoretical foundation of the application of spatial hedonic approaches-the hedonic approach employing spatial econometrics or/and spatial statistics-to benefits evaluation. The study highlights the limitations of the spatial econometrics approach since it uses a spatial weight matrix that is not employed by the spatial statistics approach. Further, the study presents empirical analyses by applying the spatial Autoregressive Error model (SAEM), which is based on the spatial econometrics approach, and the spatial process model (SPM), which is based on the spatial statistics approach. SPMs are conducted based on both isotropy and anisotropy and applied to different mesh sizes. The empirical analysis reveals that the estimated benefits are quite different, especially between isotropic and anisotropic SPM and between isotropic SPM and SAEM;the estimated benefits are similar for SAEM and anisotropic SPM. The study demonstrates that the mesh size does not affect the estimated amount of benefits. Finally, the study provides a confidence interval for the estimated benefits and raises an issue with regard to benefit evaluation.

关键词： Benefits evaluation spatial hedonic approach spatial error model spatial process model Anisotropy

来源：评论

学校读者我要写书评

暂无评论

Measuring the impact of large-scale transportation projects on land price using spatial statistical models

引用

PAPERS IN REGIONAL SCIENCE 2008年第3期87卷 385-402页

作者： Tsutsumi, Morito Seya, Hajime Univ Tsukuba Grad Sch Syst & Informat Engn Tsukuba Ibaraki 3058573 Japan PASCO Corp Meguro Ku Tokyo 1530043 Japan

Large-scale transportation projects such as the construction of a commuter railway accessible to metropolises have a significant regional impact. This study attempts to measure this impact using spatial statistical models and land price data. First, dynamic changes in the land price are analysed and the so-called announcement effect is presented using the spatial interpolation techniques. Second, various types of land price models are constructed by employing the existing methods of spatial econometrics and geostatistics;their estimates and project benefits are compared and discussed, particularly from the viewpoint of policy implications.

关键词： Land price spatial error model spatial process model spatial hedonic approach benefit evaluation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：