农田景观空间异质性分析及遥感监测最优尺度选择——以三江平原为例

农情遥感监测需要高时间分辨率的遥感数据,目前这些数据大都为中低空间分辨率影像。在这些尺度下,像元内部往往是异质的,从而影响农情参数反演精度。因此分析和表达农田景观空间异质性和最优尺度选择对遥感农情监测质量的提高具有重要的应用价值。选取建三江农垦区四种典型农田景观为研究点,Landsat/TM NDVI为实验数据,利用实验变异函数对四种景观类型的各向空间异质性进行了分析, 而后通过变异函数模型拟合,定量分析了各个研究点的整体空间异质性,并在此基础上进行了研究区遥感监测最优尺度选择。研究表明:(1) 基于实验变异函数的结构分析方法,可定性地认识空间异质性的大小和方向,进而挖掘出其背后的自然和人为驱动因素。(2) 对实验变异函数进行拟合分析,可定量地刻画不同景观格局各自的空间异质性特性。此外,基于变异函数对空间异质性的定量表达,讨论了利用积分变程A结合Nyquist-Shannon采样定理进行最优尺度选择的方法。     

景观格局分析空间取样方法及其应用

详细介绍了在关帝山森林景观生态研究中提出的景观格局分析空间取样方法,即统一网格样方取样法和统一网格样点取样法,并介绍了相应的样方数值计算方法。在此基础上,介绍了这两个取样方法在景观空间趋势面分析、景观要素空间关联度分析、景观异质性分析、景观要素空间分布模式检验、景观动态过程模型建立等方面研究中的应用。并阐述了取样方法的有效性及其可能的潜在应用价值。     

Spatial video and GIS

GIS elemental unit representations of spatial data are often defined in terms of points, lines and areas. However, another type of spatial data that is becoming frequently captured, but as yet is largely ignored in GIS, is that of video. While digital video recording is a commonly encountered medium in modern society and encompasses many forms, from simple personal camcorders through to sophisticated survey and surveillance systems, its geographical representation in a GIS has not been fully examined or realised. In the majority of cases the video footage is usually captured while the device and/or the objects being viewed are in motion. What is of particular interest is when video streams can be, or have been, associated with spatial data such as location and orientation to create geographically referenced videographic data, which, for simplicity, will be defined as spatial video. Fundamentally, the nature of video is to record space, so when spatial properties can be accurately acquired and associated with this footage, an important geographical element can be considered for integration and analysis within a GIS.

Existing spatial video systems, both commercial and research, are predominantly used in survey or LBS roles and are usually bespoke and application specific. These systems do not model spatial video to any recognised standards that is generalised to be both data and platform independent. They do not support GIS integration and/or analysis from a purely spatial content perspective. A video-image/remote-sensing centric approach prevails where usage options range from simple visualisation interfaces to interactive computer vision systems. What has been largely overlooked is a spatial approach where the inherent geographical extent recorded in each video frame can be modelled and used in a geo-spatial analysis context. While this modelling approach has not been fully realised, it does exist in a GIS form based on Open Geospatial Consortium standards, where the spatial context of video is defined in a structure called a ViewCone. However, a ViewCone only defines a 2D model of the geographical extent of each frame and is restricted to a three-or-five sided polygon representation.

Thus, this article examines the potential of modelling spatial video through the use of elemental data types within GIS; gives some examples of using this approach; describes some problems in using spatial video within GIS; and then demonstrates how these problems are being solved. This is done in three stages: Firstly, a detailed overview of spatial video in its current GIS role is provided – this is achieved through a complete introduction to the distinct elements of spatial video followed by a review of its use in both commercial and academic application areas. Secondly, a brief theoretical overview of an alternative GIS-constrained ViewCone data structure is given that defines a more flexible spatial video model for both 2D and 3D GIS analysis and visualisation. Thirdly, a selective sample of results is presented based on an implementation of this approach being applied to a constrained spatial video data source in a specific study area.     

Supporting local health decision making with spatial video: Dengue,Chikungunya and Zika risks in a data poor,informal community in Nicaragua

One challenge facing spatial scientists trying to support public health outreach and intervention in challenging environments is the lack of fine scale spatial data. These data are required to gain a better understanding of both physical and social systems; why disease occurs where it does, and how to disrupt it. While data options exist, including high resolution aerial imagery, remotely sensed data, and even online mapping products like Google Street View, these all come with limitations. One option that has previously been utilized to assess cholera risk is spatial video. Here it is used to map potential mosquito breeding sites in an endemic Dengue and Chikungunya, and emerging Zika impacted community. We show how this method can provide mapping support in the hands of non-specialist public health workers who, working in collaboration with out-of-area geographic information systems (GIS) teams, can identify where to target limited intervention resources. We use a case study of an impoverished informal style Nicaraguan community suffering from a high disease burden to show spatial variation in potential mosquito breeding habitats. A field team collected street-by-street spatial video data to produce fine scale risk maps of standing water and trash locations, which, when interpreted with the associated spatial video imagery, were used to suggest where intervention strategies should be targeted. We also discuss how these same data layers can be used to address other health concerns traditionally found in informal settlements.     

基于DEM的交通线文化景观感知与功能分段研究——紫荆关长城景观的实证

在已有景观感知度概念和模型基础上,根据景观规模和特征将交通线某一具体位置的景观感知度划分为单点景观、多点景观和组景观感知度,并提出了基于集合表达的交通线景观感知度模型,以解决在一组特定的线性空间单元或区域上开展景观感知的研究和计算问题。以紫荆关长城文化景观为例,利用DEM进行景观视域分析,并引入资源价值、遗存现状等权重因子,实现了紫荆关附近公路和铁路线的景观感知度定量计算。根据景观感知度的空间格局,准确划分了敌台、烽火台和马面等单点景观、墙体景观及各类组景观和综合景观的最佳感知功能路段和最佳观赏位置。总体来看,紫荆关附近的公路线可感知位置连续性更强,铁路线高感知位置相对离散,公路感知效果整体优于铁路感知。交通线景观感知度模型特别适合用于大型造型地貌、宏伟建筑群等景观感知分析,是对旅游景观规划设计方法的一种扩充,能够将旅游景观规划设计从旅游地内部拓展到旅游地外围,对于提高旅游景观导引设计的精准性、提升旅游文化传播效率和增加传播途径等均有理论参考意义和实践应用价值。     

陕北黄土高原景观动态的植被覆盖季节响应

半干旱地区生态环境状态与景观动态变化息息相关,为深入探讨景观动态的生态响应,本研究选择陕北黄土高原为研究区,分别就景观动态的3种类型 (景观类型间变化、类型内组分变化及未变化) 与植被覆盖状态进行分析。其中植被覆盖状态主要通过植被覆盖值高低及年内植被恢复期、维持期与转折点等曲线特征体现。结果发现研究区景观类型的动态变化并不显著,而各动态类型与植被覆盖的相关程度各不相同,植被覆盖不仅和景观类型有关,亦与景观动态类型有关,而在植被覆盖对景观动态的响应上,则体现出由于景观动态类型的差异,造成同一景观类型的植被覆盖季节响应模式和强度完全不同。     

Comparison of input data with different spatial resolution in landscape pattern analysis – A case study from northern Latvia

A suitable spatial scale needs to be selected in geographical and landscape ecological research, and this requires great consideration as different scales have profound effect on derived landscape spatial patterns. Numerous studies have investigated the effects of different scales on landscape metrics using simulated patterns, but few have been conducted to compare different data sources with variable scale for regional- and landscape-scale assessments. Possibly this has occurred because researchers have been prone to use the best available source, a well-known standard, and easiest to use. This study was conducted to assess the impact of input data resolution on values of landscape pattern metrics in four landscapes at scales 1:10 000, 1:50 000 and 1:100 000. The aim was to determine the applicability of three data sources for thematic models in landscape pattern analyses in the Eastern Baltic region. We found that the utility of CORINE Land Cover data for comprehensive structural assessment in mosaic-type landscapes was very limited, as the level of cartographic generalization excluded many small and linear landscape structure elements with potentially high importance for landscape functioning, such as habitat continuity. We also found that actual area harvested using clearcuts was considerably higher than shown in CORINE data, due to clearcuts size being much smaller than the minimum mapping unit. In the light of this, we suggest using data with spatial resolution corresponding to a cartographic scale of at least 1:50 000, in cases when spatial patches have size up to 25 ha.     

Towards an integration of process measurements, archive analysis and modelling in geomorphology — the Kärkevagge experimental site, Abisko area, northern Sweden

The analysis of Holocene geomorphic process activity demands long–term data sets, which are available for the Kärkevagge catchment due to 50 years of intensive geomorphologic field studies. This data set is used in combination with additional field measurements, remote sensing and digital elevation model (DEM) analysis to provide input data for modelling Holocene valley development. On the basis of this information, geomorphic process units (GPUs) are defined by means of GIS modelling. These units represent areas of homogeneous process composition that transfer sediments. Since the data base enables the quantification of single processes, the interaction of processes within the units can also be quantified. Applying this concept permits calculation of recent sediment transfer rates and hence leads to a better understanding of actual geomorphic landscape development activity. To extrapolate these data in time and space the process–related sediments in the valley are analysed for depth and total volume, primarily using geophysical methods. In this fashion the validity of measured process rates is evaluated for the Holocene time scale. Results from this analysis are exemplified in a cross–profile showing some of the principal sediment units in the valley. For example, the measured modern rates on a slush torrent debris fan seem to represent the Holocene mean rate. This approach should also be suitable for revealing Holocene geomorphic landscape development in terms of climate change.     

Scale dependent effects in resource selection by crop-raiding Japanese macaques in Niigata Prefecture,Japan

A resource selection function is one that yields values proportional to the probability of use of a resource unit. This quantity is influenced by the heterogeneity of landscape structures, which occurs over multiple spatial scales. To provide input into wildlife management strategies, we investigated the scale dependency and functional responses of Japanese macaques using multiple scale analysis. The multiple buffers with radii of 100, 500, 1000, 1500, 2000, and 2500 m were defined as the spatial scale. Crop damage was predicted at the within-home range scale, using the Random Forests algorithm with environmental variables linked to resource selection of Japanese macaques. Sixteen environmental variables were defined, covering aspects of landscape configuration, human disturbance, topography, and adopted countermeasures. Crop damage was most accurately predicted within a buffer zone of 1000 m, although radii exceeding 1000 m were also highly accurate. Although the importance of variables differed among spatial extents, the functional responses for each environmental variable were independent of spatial extent. These results suggest that the limiting factors of crop damage depend on spatial extent, while functional responses in resource selection remain constant across spatial extents. We also compared a multi-scale gradient map with a typical binary map to demonstrate the uncertainty in damage predictions at different spatial scales. Our results may aid wildlife management planning, for which differences in resource selection across different spatial scales are critically important.     

Towards an integration of process measurements, archive analysis and modelling in geomorphology — the Kärkevagge experimental site, Abisko area, northern Sweden

The analysis of Holocene geomorphic process activity demands long–term data sets, which are available for the Kärkevagge catchment due to 50 years of intensive geomorphologic field studies. This data set is used in combination with additional field measurements, remote sensing and digital elevation model (DEM) analysis to provide input data for modelling Holocene valley development. On the basis of this information, geomorphic process units (GPUs) are defined by means of GIS modelling. These units represent areas of homogeneous process composition that transfer sediments. Since the data base enables the quantification of single processes, the interaction of processes within the units can also be quantified. Applying this concept permits calculation of recent sediment transfer rates and hence leads to a better understanding of actual geomorphic landscape development activity. To extrapolate these data in time and space the process–related sediments in the valley are analysed for depth and total volume, primarily using geophysical methods. In this fashion the validity of measured process rates is evaluated for the Holocene time scale. Results from this analysis are exemplified in a cross–profile showing some of the principal sediment units in the valley. For example, the measured modern rates on a slush torrent debris fan seem to represent the Holocene mean rate. This approach should also be suitable for revealing Holocene geomorphic landscape development in terms of climate change.     

Guiding rural landscape change: Current policy approaches and potentials of landscape strategy making as a policy integrating approach

Public policy interventions concerning rural landscapes have grown significantly in recent decades in many developed countries and internationally, in response to a range of imperatives. These include concern for declining biodiversity, heritage and social wellbeing in the face of urbanisation, and structural change in rural economies involving both agricultural intensification and extensification. The public policy response has been a fragmented array of measures, both horizontally (across policy sectors) and vertically (across political-administrative-organisational levels). Against this background, rural landscape policy approaches are analysed in respect to their instrumentality and spatial logic, informed by Hägerstrand's concepts of territorial and spatial competence. A framework for local policy making and policy integration inspired by landscape strategy making approaches is presented and illustrated through four Danish experiments in rural landscapes of various scale and with different policy issues. Results suggest that landscape strategy making represents a promising way to improve policy integration in rural contexts but research is needed to find suitable ways to engage large scale intensive farming with the community based process.     

基于地理标记照片的城市旅游意象空间分异研究

城市旅游感知意象与投射意象的匹配程度是城市旅游形象建设与宣传效果的重要评价,景观尺度下旅游感知与投射意象的空间分异特征可以有效评估游客对城市旅游意象的感知偏差,以此把握旅游者的旅游动机与景观偏好,更好地提升旅游地形象建设。本研究以五大世界著名旅游城市为例,以Flickr网站的地理标记照片数据和政府旅游网站宣传的旅游信息为数据源,利用ArcGIS空间分析技术分析城市旅游感知意象与投射意象的要素构成和空间分异特征。结果表明,城市旅游感知与投射意象的差异既体现在要素构成的偏差上,也体现在空间分布特征的差异方面。除东京旅游感知与投射意象要素结构基本一致以外,其他城市均存在一定程度的偏差。局部空间聚集异常值可视化了五大城市旅游感知意象与投射意象的空间分布偏差,相比城市旅游投射意象的空间集聚,城市旅游感知意象的范围更为离散。同时,双变量空间自相关指数分析结果验证了五大城市旅游感知意象与投射意象均呈显著的空间正相关,但是相关程度和依赖度并不高,说明了从感知与投射视角进行旅游意象空间特征分析的重要性,应以需求为导向进行城市旅游景观规划与宣传。结合地理标记照片数据的空间分析方法为城市旅游感知意象与投射意象的空间分异研究提供了普适性的方法,以服务于城市可持续发展和旅游形象建设。     

Spatial Scale Problems and Geostatistical Solutions: A Review

The concept of spatial scale is fundamental to geography, as are the problems of integrating data obtained at different scales. The availability of GIS has provided an appropriate environment to re-scale data prior to subsequent integration, but few tools with which to implement the re-scaling. This sparsity of appropriate tools arises primarily because the nature of the spatial variation of interest is often poorly understood and, specifically, the patterns of spatial dependence and error are unknown. Spatial dependence can be represented and modelled using geostatistical approaches providing a basis for the subsequent re-scaling of spatial data (e.g., via spatial interpolation). Geostatistical techniques can also be used to model the effects of re-scaling data through the geostatistical operation of regularization. Regularization provides a means by which to re-scale the statistics and functions that describe the data rather than the data themselves. These topics are reviewed in this paper and the importance of the spatial scale problems that remain is emphasized.     

深圳市道路网络结构特征的成因及其景观格局效应

本文以我国典型快速城市化地区深圳市为例,综合使用GIS技术、道路网络结构特征分析、景观格局分析和相关分析方法研究其道路网络结构特征的成因及其景观生态效应。在确定了24个独立的空间研究单元的基础上,重点分析了深圳市道路网络结构特征的相关关系、城市化水平差异对道路网络结构特征的影响和道路格局特征的景观整体及重要组分的格局效应。结果表明:城市建设用地密度的增加导致交通用地密度、节点和廊道储量增加,道路网络结构复杂程度、格局指数降低;资源条件、环境和生态保护约束是导致道路网络复杂性增加、结构发育水平下降、网络格局指数不断降低的主要原因;深圳市的道路网络格局特征对全市景观整体格局没有表现显著的约束性影响,对建设用地显示出环境保护约束和空间吸引两个方面的综合效应,对于林地则表现出生态保护约束、空间排斥和物理分割三个方面的综合效应。     

Object-based spatial cluster analysis of urban landscape pattern using nighttime light satellite images: a case study of China

Previous studies have demonstrated urban built-up areas can be derived from nighttime light satellite (DMSP-OLS) images at the national or continent scale. This paper presents a novel object-based method for detecting and characterizing urban spatial clusters from nighttime light satellite images automatically. First, urban built-up areas, derived from the regionally adaptive thresholding of DMSP-OLS nighttime light data, are represented as discrete urban objects. These urban objects are treated as basic spatial units and quantified in terms of geometric and shape attributes and their spatial relationships. Next, a spatial cluster analysis is applied to these basic urban objects to form a higher level of spatial units – urban spatial clusters. The Minimum Spanning Tree (MST) is used to represent spatial proximity relationships among urban objects. An algorithm based on competing propagation of objects is proposed to construct the MST of urban objects. Unlike previous studies, the distance between urban objects (i.e., the boundaries of urban built-up areas) is adopted to quantify the edge weight in MST. A Gestalt Theory-based method is employed to partition the MST of urban objects into urban spatial clusters. The derived urban spatial clusters are geographically delineated through mathematical morphology operation and construction of minimum convex hull. A series of landscape ecologic and statistical attributes are defined and calculated to characterize these clusters. Our method has been successfully applied to the analysis of urban landscape of China at the national level, and a series of urban clusters have been delimited and quantified.     

Neighborhood size and spatial scale in raster-based slope calculations

Raster-based slope estimation is routine in GIS. Like many other terrain attributes, the slope at a location is determined from elevations of surrounding cells. This spatial extent – ‘neighborhood size’ – is often treated as the ‘spatial scale’ of the calculation. In fact, neighborhood size and spatial scale are two connected yet different concepts, but few studies have investigated the relationship between them. The distinction is important because neighborhood size is under user control whereas spatial scale is merely implicit in the computational method. This article attempts to clarify and provide a more precise meaning of the two terms by considering slope operators from the standpoint of the frequency (or wavenumber) domain. This article derives analytical expressions for the amplitude response functions of four popular slope estimators. These are used to characterize the individual methods and also to show that the neighborhood size and spatial scale of a slope calculation are not numerically the same. In fact, because there is no single spatial scale that can be unambiguously associated with a given neighborhood size, neighborhood size cannot be an adequate indicator of spatial scale. Furthermore, this article shows that different indices of ‘scale’ yield different impressions about the action of a slope estimator and its response to changing neighborhood size. Therefore, it is necessary to examine the amplitude response function when investigating the spatial scale. The article also provides guidance for GIS practitioners when selecting a slope estimation method.     

Spatial Scale Problems and Geostatistical Solutions: A Review

The concept of spatial scale is fundamental to geography, as are the problems of integrating data obtained at different scales. The availability of GIS has provided an appropriate environment to re‐scale data prior to subsequent integration, but few tools with which to implement the re‐scaling. This sparsity of appropriate tools arises primarily because the nature of the spatial variation of interest is often poorly understood and, specifically, the patterns of spatial dependence and error are unknown. Spatial dependence can be represented and modelled using geostatistical approaches providing a basis for the subsequent re‐scaling of spatial data (e.g., via spatial interpolation). Geostatistical techniques can also be used to model the effects of re‐scaling data through the geostatistical operation of regularization. Regularization provides a means by which to re‐scale the statistics and functions that describe the data rather than the data themselves. These topics are reviewed in this paper and the importance of the spatial scale problems that remain is emphasized.     

地理单元划分对城市热环境响应规律的影响——以北京为例

尺度效应及空间异质性决定了同一种影响因子在不同地理单元中对生态过程的作用程度存在差异.论文选择城市热环境效应这一典型城市生态过程为研究对象,针对地理单元划分对热环境效应响应规律研究较少的现状,选择土地利用分类、网格、街区、局地气候区4种地理单元,选取常用景观组分指标——归一化差值植被指数(normalized diff...     

基于地理标记照片的城市旅游意象空间分异研究——以五大世界著名旅游城市为例

城市旅游感知意象与投射意象的匹配程度是城市旅游形象建设与宣传效果的重要评价,景观尺度下旅游感知与投射意象的空间分异特征可以有效评估游客对城市旅游意象的感知偏差,以此把握旅游者的旅游动机与景观偏好,更好地提升旅游地形象建设。本研究以五大世界著名旅游城市为例,以Flickr网站的地理标记照片数据和政府旅游网站宣传的旅游信息为数据源,利用ArcGIS空间分析技术分析城市旅游感知意象与投射意象的要素构成和空间分异特征。结果表明,城市旅游感知与投射意象的差异既体现在要素构成的偏差上,也体现在空间分布特征的差异方面。除东京旅游感知与投射意象要素结构基本一致以外,其他城市均存在一定程度的偏差。局部空间聚集异常值可视化了五大城市旅游感知意象与投射意象的空间分布偏差,相比城市旅游投射意象的空间集聚,城市旅游感知意象的范围更为离散。同时,双变量空间自相关指数分析结果验证了五大城市旅游感知意象与投射意象均呈显著的空间正相关,但是相关程度和依赖度并不高,说明了从感知与投射视角进行旅游意象空间特征分析的重要性,应以需求为导向进行城市旅游景观规划与宣传。结合地理标记照片数据的空间分析方法为城市旅游感知意象与投射意象的空间分异研究提供了普适性的方法,以服务于城市可持续发展和旅游形象建设。     

景观格局的数量研究方法

依据景观局数量方法的研究进展,从单个斑块特征分析、单一景观要素的格局分析及景观镶嵌体特征分析等三个方面介绍了数量分析方法,并介绍最常用的和近年来发展的新方法。