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spatial analysis of regional industrial clusters in the German forest sector

INTERNATIONAL FORESTRY REVIEW 2009年第1期11卷 38-51页

作者： Kies, U. Mrosek, T. Schulte, A. Univ Munster Wald Zentrum D-48149 Munster Germany

The economic concept of the forest sector as a cluster of interlinked wood-based industries is contributing to a growing understanding of a large sector in national economies of Europe. Although national level surveys have demonstrated the forest sector's global impact, neither its role in regional economies nor its distribution in geographic space are well understood. Attempting a regionalized analysis of the forest sector, this paper explores an approach combining regional economics and spatial statistics. Standard concentration indices (Gini coefficient, location quotient) and geostatistical autocorrelation measures for regional clustering (Moran's I and Getis-Ord G) are combined in an exploratory spatial analysis of detailed county-level employment statistics for Germany. The case study reveals decisive impacts of the forest sector on regional employment especially in rural areas. Regional industrial clusters and pairwise patterns of co-agglomeration of sawmilling, wood-based panels, wood-based construction and furniture industries are identified in geographical space. The pronounced spatial variability within Germany's forest sector is linked to regional factors influencing geographic location, size and regional association of the industries under study. The research offers a suitable geostatistical approach for regional industrial targeting of the forest sector that can be supportive to informed rational decision-making in forest cluster development and policy.

关键词： forest sector wood-based industries industry agglomeration exploratory spatial data analysis Germany

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spatial-temporal evolution of the distribution pattern of river systems in the plain river network region of the Taihu Basin, China

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QUATERNARY INTERNATIONAL 2016年第Jan.21期392卷 178-186页

作者： Deng, Xiaojun Xu, Youpeng Han, Longfei Yang, Mingnan Yang, Liu Song, Song Li, Guang Wang, Yuefeng Nanjing Univ Sch Geog & Oceanog Sci 163 Xianlin Ave Nanjing 210023 Jiangsu Peoples R China Guangxi Normal Univ Sch Environm Sci & Resources 15 Yucai Rd Guilin 541004 Guangxi Peoples R China

Understanding the spatial-temporal distribution characteristic and evolution tendency of river systems is important in integrated river basin management. In this paper, six indicators were adopted to describe the physical characteristic of river systems. The spatial-temporal evolution of the distribution pattern of river systems in the plain river network region of the Taihu Basin (PRNRTB) during the 1960s-2000s was analyzed using exploratory spatial data analysis (ESDA) and the gravity centre model. The impacts of urbanization were then investigated. Results indicated that the global distribution patterns of box dimension and river density were all statistically significant spatially clustered, and river sinuosity was partially spatially clustered, while water surface ratio, main river area length ratio and river development coefficient were not spatially clustered. Moreover, the water surface ratio was the most stable parameter, box dimension was also relatively stable parameter, but the others were unstable. Meanwhile, the mutual transformations of hot and cold spots of river systems especially water surface ratio, river development coefficient, and river sinuosity were frequent. The hot spot regions were mainly located in the northeast region. In addition, most gravity centres migrated gradually from southeast to northwest with low distance, except those of river development coefficient and river density. These aforementioned differences were caused by the rapid urbanization. Based on the integrated river basin management suggestions for PRNRTB, the river density, box dimension and river sinuosity should be maintained and restored across the whole watershed, and the river conservation and restoration should focus on countermeasures against the reduction of river development coefficient, and main attention should be paid on the river systems conserving and restoring in Haiyan and Haining in southeast PRNRTB. (C) 2015 Elsevier Ltd and INQUA. All rights reserved.

关键词： River systems Distribution pattern spatial-temporal evolution Impacts of urbanization exploratory spatial data analysis Taihu Basin

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analysis on the spatial distribution and evolution of FDI in mainland China

Analysis on the spatial distribution and evolution of FDI in...

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14th International Conference on Management Science and Engineering

作者： Wang Xian-wen Jiang Zhao-hua Dalian Univ Technol Ctr Dev Studies 21st Century Dalian 116023 Peoples R China

ISBN: (纸本)9787560322780

There are certain rules about the spatial distribution of foreign direct investment FDI, among them region agglomeration is the main characteristic. Based on the theory of spatial econometrics, present paper uses GIS software to research the spatial distribution of FDI. Moran's I statistics, spatial Gini indices, and global Theil indices of 31 provincial areas in Mainland China, are calculated. Then, an exploratory spatial data analysis is conducted to analysis the evolution process from the spatial aspect in order to diagnose and estimate the spatial difference and dynamic disequilibrium by building spatial econometrics model of FDI in Mainland China. The results reveal that GDP and cumulated FDI are very important to attract FDI, and LISA cluster map provides an easy way to recognize the core of clusters.

关键词： exploratory spatial data analysis FDI GIS spatial error model

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spatial analysis of haze-fog pollution in China

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ENERGY & ENVIRONMENT 2016年第6-7期27卷 726-740页

作者： Li, Li Tang, Dengli Kong, Ying Yang, Yuanhua Liu, Dongjun Harbin Inst Technol Shenzhen Grad Sch Shenzhen 518055 Peoples R China Peking Univ Shenzhen Grad Sch Shenzhen Peoples R China

Haze-fog pollution has been one of the major atmospheric pollution problems in China. This study is aimed at understanding spatial distribution and spatial correlation of haze-fog pollution in China from 2001 to 2010 using exploratory spatial data analysis technique. The results show that spatial distribution of haze-fog pollution is not changed obviously in the 10 years, and the most serious polluted region is distributed in Beijing-Tianjin-Hebei region. The values of global Moran's I vary from 0.4066 to 0.4842, which indicates that haze-fog pollution is not distributed randomly, but has spatial agglomeration effects. The High-High agglomeration type is mainly distributed in central China, which contains 15, 14, 14, and 13 regions for the years of 2001, 2004, 2007, and 2010, respectively, while the Low-Low agglomeration type is concentrated in western and eastern China, which contains 11, 10, 10, and 8 regions for the years of 2001, 2004, 2007, and 2010, respectively. The results should provide policy guidance for public authorities to control haze-fog pollution. Further researches are still needed because of the complexity of haze-fog pollution and variety of influence factors.

关键词： Haze-fog pollution exploratory spatial data analysis spatial distribution spatial correlation

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Geovisualization of forest simulation modelling results: A case study of carbon sequestration and biodiversity

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COMPUTERS AND ELECTRONICS IN AGRICULTURE 2005年第1期49卷 175-191页

作者： Chertov, O Komarov, A Mikhailov, A Andrienko, G Andrienko, N Gatalsky, P St Petersburg State Univ Biol Res Inst St Petersburg Russia Russian Acad Sci Inst Phys Chem & Biol Problems Soil Sci Pushchino 142290 Russia Fraunhofer Inst Autonomous Intelligent Syst D-53754 St Augustin Germany

Sustainable forest management requires new tools to analyze spatial and temporal forest dynamics and to examine those forest parameters that are related to sustainability. We built a prototype system for data analysis and decision-making at forest enterprise level by integrating a forest ecosystem model EFIMOD-PRO, (long-term prediction of forest growth and soil development) with an interactive visualization system CommonGIS for analysis of spatially and temporally related data. Using the prototype, a case study in Central European Russia simulated four silvicultural regimes over 200 years: natural development, selective forestry, legal forestry according to the Russian forestry legislation, and illegal forest practice. exploratory analysis of the simulation results demonstrated that (1) natural stand development is the best alternative for carbon sequestration;(2) legal forest management is the best regime for timber production;(3). selective forestry combines the advantages of two previous strategies, and can be the best strategy for implementing sustainable forest management;and (4) illegal forest practices lead to a fast decrease in forest productivity and decreasing biodiversity. Interactive and dynamic visualizations With maps and statistical graphics played a crucial role in data cleaning, model validation, and analysis of simulation results. The case study demonstrated the potential of integrating forest ecosystem models with exploratory data visualization for the analysis and expert evaluation at the local level. The prototype can be used to present ecological and silvicultural consequences of various management practices to stakeholders and differing social groups, thus stimulating effective decision-making for sustainable forestry. (c) 2005 Elsevier B.V. All rights reserved.

关键词： simulation modelling silvicultural strategies geovisualization exploratory spatial data analysis

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FluMapper: A cyberGIS application for interactive analysis of massive location-based social media

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2014年第13期26卷 2253-2265页

作者： Padmanabhan, Anand Wang, Shaowen Cao, Guofeng Hwang, Myunghwa Zhang, Zhenhua Gao, Yizhao Soltani, Kiumars Liu, Yan Univ Illinois CyberInfrastruct & Geospatial Informat Lab Champaign IL 61820 USA Univ Illinois Dept Geog & Geog Informat Sci Champaign IL USA Univ Illinois CyberGIS Ctr Adv Digital & Spatial Studies Champaign IL USA Univ Illinois Natl Ctr Supercomp Applicat NCSA Champaign IL USA Univ Illinois Illinois Informat Inst Champaign IL USA Texas Tech Univ Dept Geosci Lubbok TX USA Chinese Acad Sci Comp Network Informat Ctr Beijing Peoples R China

Social media have experienced a spectacular rise in popularity, attracting hundreds of millions of users and generating unprecedented amount of content that increasingly contain location and place information. Collectively, the massive location information in these data provides an excellent opportunity to better understand many geographic phenomena and geospatial dynamics in a timely fashion. Recent studies capitalizing on social networking and media data show significant societal impacts in many areas including prediction of stock market and infectious disease surveillance. However, because location-based social media data are often massive, generated dynamically, and unstructured, significant computation, data, and visualization challenges need to be resolved. This research aims to demonstrate the use of massive social media data to interactively analyze spatiotemporal events across spatial and temporal scales, by establishing a data-driven framework using cyberGISgeographic information systems (GIS) based on advanced cyberinfrastructureto resolve aforementioned challenges. Specifically, FluMapperan application on the CyberGIS Gatewayis employed as a case study to demonstrate the data-driven framework and seamless integration of massive location-based social media data and spatial analytical services within the online problem solving environment of the Gateway. FluMapper presents integrated results from two complementary spatial analyses: (i) an interactive exploration of spatial distribution of flu risk and (ii) dynamic mapping of movement patterns, across multiple spatial, and temporal scales. The seamless integration of these two analyses through the framework illustrates the potential of cyberGIS to resolve the compute and data challenges of analyzing near real-time social media data in an efficient and scalable manner and to support interactive visualization. Copyright (c) 2014 John Wiley & Sons, Ltd.

关键词： CyberGIS data-driven analytics social media exploratory spatial data analysis

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Geovisualization of forest simulation modelling results: A case study of carbon sequestration and biodiversity

Geovisualization of forest simulation modelling results: A c...

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Conference on Decision Support for Multiple Purpose Forestry

关键词： simulation modelling silvicultural strategies geovisualization exploratory spatial data analysis

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spatial patterns on tourism establishments in five CIP´s in Mexico, 2010–2022

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Quality and Quantity 2023年 1-18页

作者： Prudencio-Vázquez, Jaime A. Martínez-Rodríguez, Alvaro Pérez-Victorino, Leonardo Álvarez-García, José Departamento de Economía Universidad Autónoma Metropolitana Unidad Azcapotzalco Ciudad de México 02128 Mexico Departamento de Economía Financiera y Contabilidad Instituto Universitario de Investigación para el Desarrollo Territorial Sostenible (INTERRA) Universidad de Extremadura Cáceres Spain

Studies on the spatial patterns of economic activity contribute to economic performance management, planning, and promotion. Investors, policymakers, and social organizations have access to valuable information on the concentration and location of activity. spatial patterns of tourism have been studied to better organize tourist flows, optimize existing infrastructure, plan new facilities, and promote new destinations. In the late 1960s, the Central Mexican government started projects aimed at constructing large tourism facilities primarily for foreign visitors. These were called centros integralmente planeados or “fully planned centers” (CIP’s) and were headed by Fondo Nacional de Fomento al Turismo (National Tourism Promotion Fund) FONATUR. The objective of this study is to explore the spatial distribution patterns of tourism establishments in five municipalities where CIP?s are located. The study uses exploratory spatial data analysis (ESDA) tools, such as average nearest neighbor index, standard deviation ellipse, spatial kernel density, global and local indicator of spatial autocorrelation, applied to geographic information system (GIS) data representing tourism establishments. The results show changes in establishment distribution and orientation, as well as spatial concentration in all cases and years. All CIP?s experienced a significant reduction in establishments, particularly small and medium-sized businesses. This paper is one of the first to analyze simultaneously the spatial distribution and concentration of tourism establishments in five municipalities where CIP’s are located. © 2023, The Author(s).

关键词： exploratory spatial data analysis Fully planned centers spatial patterns Tourism establishments

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Ocean of Information: Fusing Aggregate & Individual Dynamics for Metropolitan analysis 10

Ocean of Information: Fusing Aggregate & Individual Dynamics...

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Proceedings of the 14th ACM International Conference on Intelligent User Interfaces

作者： Martino, Mauro Calabrese, Francesco Di Lorenzo, Giusy Andris, Clio Liu, Liang Ratti, Carlo MIT Senseable City Lab Cambridge MA 02139 USA

ISBN: (纸本)9781605585154

In this paper, we propose a tool to explore human movement dynamics in a Metropolitan Area. By analyzing a mass of individual cell phone traces, we build a Human-City Interaction System for understanding urban mobility patterns at different user-controlled temporal and geographic scales. We solve the problems that are found in available tools for spatio-temporal analysis, by allowing seamless manipulability and introducing a simultaneous\multi-scale visualization of individual and aggregate flows. Our tool is built to support the exploration and discovery of urban mobility patterns and the daily interactions of millions of people. Moreover, we implement an intelligent algorithm to evaluate the level of mobility homophily of people moving from place to place.

关键词： Graph visualization exploratory spatial data analysis visual analysis intelligent human information interaction cellphone data analysis

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Conditioned choropleth maps and hypothesis generation

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ANNALS OF THE ASSOCIATION OF AMERICAN GEOGRAPHERS 2005年第1期95卷 32-53页

作者： Carr, DB White, D MacEachren, AM George Mason Univ Ctr Computat Stat Fairfax VA 22030 USA US EPA Corvallis OR 97333 USA Penn State Univ Dept Geog GeoVISTA Ctr University Pk PA 16802 USA

The article describes a recently developed template for multivariate data analysis called conditioned choropleth maps (CCmaps). This template is a two-way layout of maps designed to facilitate comparisons. The template can show the association between a dependent variable, as represented in a classed choropleth map, and two potential explanatory variables. The data-analytic objective is to promote better-directed hypothesis generation about the variation of a dependent variable. The CCmap approach does this by partitioning the data into subsets to control the variation in the dependent variable that is associated with two conditioning variables. The interactive implementation of CCmaps introduced here provides dynamically updated map panels and statistics that help in comparing the distributions of conditioned subsets. Patterns evident across subsets indicate the association of conditioning variables with the dependent variable. The patterns lead to hypothesis generation about scientific relationships behind the apparent associations. spatial patterns evident within individual subsets lead to hypothesis generation that is often mediated by the analyst's knowledge about additional variables. Examples showing applications of the methods to health-environment interaction and biodiversity analysis are presented.

关键词： geovisualization exploratory spatial data analysis choropleth maps hypothesis generation partitioning sliders stratified comparison dynamic map statistical annotation

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