地域功能-结构的空间组织途径——对国土空间规划实施主体功能区战略的讨论

地域功能-结构的空间组织规律是人地系统耦合研究的基本理论问题,也是开展国土空间规划、塑造可持续地理格局的基础理论。从地理学对地理过程的重复、预测、调控、优化的讨论入手,阐释了空间治理体系是现代地理学用于调控和优化可持续地理过程与格局的重要途径。采用生态-生活-生产等三生空间构成的地域功能空间结构呈现的时空演变特征,表达了地域功能-结构的空间有序性法则,阐释了地域功能与自然地理环境相协调、同一地域单元各类功能及不同单元之间冲突最小化、地域功能在不同空间尺度有效传导、以及长时间尺度综合效益最大化等空间组织目标。从可持续性出发,建立自然要素的资源、环境、生态和灾害四大属性的概念,并通过四大属性集成构成自然承载力,分析承载力的原值、余量和潜力在空间规划中的作用,形成自下而上解析空间组织的基本方法。从新空间均衡出发,基于承载力、融入位置和空间结构参量后构成的地域功能适宜性,形成自上而下解析空间组织的基本方法。进而讨论了集成两种方法形成的主体功能区具备的对空间组织与规划的基础价值和战略价值,提出主体功能区的区划、战略、制度和规划用途分离及相互关联的新思路。以实施主体功能区战略为主线、以空间降尺度传导主体功能为核心科学问题、以关键约束参数为空间结构控制性指标,讨论了数据库与地域功能谱系、功能和尺度依赖的承载力评价方法与模型库、“三区三线”的建构框架,论证了空间规划实施主体功能区战略的途径,提出地理学应着力加强大、中空间尺度（区域性）国土空间规划基础理论和方法、强化技术等科技支撑体系建设的建议。     

国土空间管控的方法与途径

国土空间管控是对国土空间各类开发保护活动的科学谋划与管理安排,是进行国土空间宏观调控和微观管理的重要政策工具。探讨以地域功能和资源环境承载力为科学基点的国土空间管控体系框架,并以福建省和贵州省六盘水市为例,解析“三区三线”协同划定和国土开发强度并测算两个国土空间管控中技术难点的解决方法,在此基础上,提出以功能管控和参数管控为核心的多尺度、多时序国土空间管控途径。研究发现：① 功能管控以主体功能区划和“三区三线”划定方案为基础,按照四类主体功能定位、三类空间（生态、农业和城镇空间）、六类分区（生态保护红线及一般生态区、永久基本农田及一般农业区、城镇开发边界及城镇预留区）以及N类建设和非建设类用途分层级实施;② 参数管控则以国土开发强度为关键目标参数,实施基于总量-目标和过程-增幅双控的阈值管控,以及基于上限和下限双控的分类型管控途径,旨在实现各类空间内和区域整体的生产、生活、生态“三生”结构均衡协调,促进形成高质量、可持续的国土空间开发保护格局。     

武汉市不同等级景区旅游吸引力时空变化

收集2018~2019年网络关注度等有关数据,利用地理集中指数和多元线性回归等方法,分析景区旅游吸引力时空变化及影响因素,结果发现:(1)景区级别越高,其吸引力半径越大,景区50%的客源市场集中在900km范围内,80%的客源市场集中在1 200 km范围内.(2)景区级别越高,旅游吸引力集中度往往越小,客源市场较分散.不同季节各景区旅游吸引力差异较大,旅游吸引力集中度有明显的季节变化.(3)各景区的平均旅游吸引力均存在距离衰减现象,级别越高的景区在不同空间距离范围内的吸引力相差较小,衰减速度较小.不同季节的旅游吸引力衰减速度有所不同.(4)在其它条件相同的情况下,城市经济发展水平越高、人口越多、距离越近,景区对其吸引力越强.     

The spatial local accuracy of land cover datasets over the Qiangtang Plateau,High Asia

We analyzed the spatial local accuracy of land cover (LC) datasets for the Qiangtang Plateau, High Asia, incorporating 923 field sampling points and seven LC compilations including the International Geosphere Biosphere Programme Data and Information System (IGBPDIS), Global Land cover mapping at 30 m resolution (GlobeLand30), MODIS Land Cover Type product (MCD12Q1), Climate Change Initiative Land Cover (CCI-LC), Global Land Cover 2000 (GLC2000), University of Maryland (UMD), and GlobCover 2009 (Glob-Cover). We initially compared resultant similarities and differences in both area and spatial patterns and analyzed inherent relationships with data sources. We then applied a geographically weighted regression (GWR) approach to predict local accuracy variation. The results of this study reveal that distinct differences, even inverse time series trends, in LC data between CCI-LC and MCD12Q1 were present between 2001 and 2015, with the exception of category areal discordance between the seven datasets. We also show a series of evident discrepancies amongst the LC datasets sampled here in terms of spatial patterns, that is, high spatial congruence is mainly seen in the homogeneous southeastern region of the study area while a low degree of spatial congruence is widely distributed across heterogeneous northwestern and northeastern regions. The overall combined spatial accuracy of the seven LC datasets considered here is less than 70%, and the GlobeLand30 and CCI-LC datasets exhibit higher local accuracy than their counterparts, yielding maximum overall accuracy (OA) values of 77.39% and 61.43%, respectively. Finally, 5.63% of this area is characterized by both high assessment and accuracy (HH) values, mainly located in central and eastern regions of the Qiangtang Plateau, while most low accuracy regions are found in northern, northeastern, and western regions.

     

Simulating runoff generation and its spatial correlation with environmental factors in Sancha River Basin: The southern source of the Wujiang River

Journal of Geographical Sciences - Runoff generation is an important part of water retention service, and also plays an important role on soil and water retention. Under the background of the...     

近50年来云南气候带的变化特征

利用云南115个气象观测站1961-2006年逐日平均气温求算稳定≥10℃积温.并对积温资料按年代建立与海拔、经度和纬度相关联的小网格推算模型.再应用地理信息系统(GIS)订正到0.01×0.01°网格点,得出云南5个不同年代细网格积温分布.在此基础上划分7个气候带地理分布图,并分别计算其面积.据此分析,近50年来云南气候带总体上呈现热带亚热带范围扩大、温带范围减少的变化趋势,其中以北热带增加最明显,增幅达到90.2%;而南温带减少最明显,减幅为12.5%.在年代际变化上,1960-1970年表现出热带亚热带范围减小,温带范围增加;从1970年后则呈现热带亚热带范围快速增加,温带范围减小的趋势.而1990年代以来是气候带变化最大的时期.     

都市成长区城镇空间多元组织模式研究

都市成长区城镇的发展具有复杂与动态的双重特征,本文在总结国内外相关研究的基础上,将大都市成长区城镇的空间结构与功能组织过程划分成四个阶段,即各城镇独立发展阶段、成长区培育阶段、成长区发展与扩张阶段和成长区创新发展阶段.研究以杭州市余杭区为例,从规模与结构两个角度对其所处的大都市区域化背景和自身发展特征进行解析,并对成长区城镇的发展趋势与路径进行研究,提出了网络化大都市区副城模式、创新极核与反磁力组团模式、文化创意与物流组团模式以及生态廊道与旅游组团模式四种城镇组群空间组织模式.并比较了四种模式各自特点和适用情况,最后总结了大都市成长区城镇空间组织必须着重把握的五个关系:与核心都市区之间的分工关系、与大都市人口动态变化之间的关系、与大都市经济区内外部联系通道的网络结构关系、文脉特质保护与构建都市区地域文化的关系、生态空间组织与都市区生态格局的耦合关系.     

A method for checking the quality of geographic metadata based on ISO 19157

With recent advances in remote sensing, location-based services and other related technologies, the production of geospatial information has exponentially increased in the last decades. Furthermore, to facilitate discovery and efficient access to such information, spatial data infrastructures were promoted and standardized, with a consideration that metadata are essential to describing data and services. Standardization bodies such as the International Organization for Standardization have defined well-known metadata models such as ISO 19115. However, current metadata assets exhibit heterogeneous quality levels because they are created by different producers with different perspectives. To address quality-related concerns, several initiatives attempted to define a common framework and test the suitability of metadata through automatic controls. Nevertheless, these controls are focused on interoperability by testing the format of metadata and a set of controlled elements. In this paper, we propose a methodology of testing the quality of metadata by considering aspects other than interoperability. The proposal adapts ISO 19157 to the metadata case and has been applied to a corpus of the Spanish Spatial Data Infrastructure. The results demonstrate that our quality check helps determine different types of errors for all metadata elements and can be almost completely automated to enhance the significance of metadata.     

Detecting arbitrarily shaped clusters in origin-destination flows using ant colony optimization

An origin-destination (OD) flow can be defined as the movement of objects between two locations. These movements must be determined for a range of purposes, and strong interactions can be visually represented via clustering of OD flows. Identification of such clusters may be useful in urban planning, traffic planning and logistics management research. However, few methods can identify arbitrarily shaped flow clusters. Here, we present a spatial scan statistical approach based on ant colony optimization (ACO) for detecting arbitrarily shaped clusters of OD flows (AntScan_flow). In this study, an OD flow cluster is defined as a regional pair with significant log likelihood ratio (LLR), and the ACO is employed to detect the clusters with maximum LLRs in the search space. Simulation experiments based on AntScan_flow and SaTScan_flow show that AntScan_flow yields better performance based on accuracy but requires a large computational demand. Finally, a case study of the morning commuting flows of Beijing residents was conducted. The AntScan_flow results show that the regions associated with moderate- and long-distance commuting OD flow clusters are highly consistent with subway lines and highways in the city. Additionally, the regions of short-distance commuting OD flow clusters are more likely to exhibit ‘residential-area to work-area’ patterns.     

Examining the sensitivity of spatial scale in cellular automata Markov chain simulation of land use change

Understanding the spatial scale sensitivity of cellular automata is crucial for improving the accuracy of land use change simulation. We propose a framework based on a response surface method to comprehensively explore spatial scale sensitivity of the cellular automata Markov chain (CA-Markov) model, and present a hybrid evaluation model for expressing simulation accuracy that merges the strengths of the Kappa coefficient and of Contagion index. Three Landsat-Thematic Mapper remote sensing images of Wuhan in 1987, 1996, and 2005 were used to extract land use information. The results demonstrate that the spatial scale sensitivity of the CA-Markov model resulting from individual components and their combinations are both worthy of attention. The utility of our proposed hybrid evaluation model and response surface method to investigate the sensitivity has proven to be more accurate than the single Kappa coefficient method and more efficient than traditional methods. The findings also show that the CA-Markov model is more sensitive to neighborhood size than to cell size or neighborhood type considering individual component effects. Particularly, the bilateral and trilateral interactions between neighborhood and cell size result in a more remarkable scale effect than that of a single cell size.