2.5维电子地图渲染成图接边方法探讨

2.5维电子地图与二维、三维矢量地图有着明显区别,其分批渲染成果是栅格数据,最后成果也是图像的形式,所以在地图接边的方式上比矢量图接边的方法要复杂得多。本文探讨了一种方法,使用虚拟相机确定2.5维电子地图俯瞰视角,制作批量渲染成图的接边参考框架,最后分批渲染景观模型与框架进行图像叠合。这种方法在项目实践中初见成效,能最大限度地缩小接边误差,不足之处是人工干预部分较多,必然导致误差累积,有待改进。     

WRF模式中QNSE方案的湍流长度尺度系数的调整试验研究

边界层参数化方案中湍流混合对数值模拟起着重要的作用,湍流混合作用的恰当描述对于温度、湿度、风场以及降水的准确模拟至关重要。我国长江中下游流域人口密集,暴雨灾害频发,很有必要寻找一种适合该地区降水模拟的边界层参数化方案。本文运用WRF（Weather Research and Forecasting）中尺度数值模式,以QNSE（Quasi-Normal Scale Elimination）边界层参数化方案为基础,将其中湍流混合长度尺度系数调整为可变参数。本文将Noh et al.（2003）提出的Prandtl公式与Janji?提出的修正湍流长度尺度系数的方法相结合,通过考虑非局地项的强迫、地表稳定度与边界层高度对湍流长度尺度系数的影响,强调大气的动力结构特征与热力结构特征对湍流混合的共同影响,从而提高QNSE边界层参数化方案在不同地理环境下的模拟能力。文章通过进行长江中下游地区的典型暴雨试验,将调整参数后的QNSE方案与原方案进行比较,重点分析调整参数后的方案与原方案对关键基本气象要素场、边界层结构特征以及降水的模拟能力,并将模拟结果与观测结果进行对比,结果表明:调整参数后的方案一定程度上改进了地表温度、边界层结构以及降水的模拟效果。进一步研究表明,调整参数后的方案主要通过改变边界层混合缓解水汽混合比、位温模拟方面的误差。     

The Effects of Spatial Scale and Aggregation on Food Access Assessment: A Case Study of Tucson,Arizona

Adequate access to healthy food has become a social issue due to the recent Great Recession and heightened levels of unemployment. Geographers have focused their attention on how to accurately evaluate food access and how to identify and delineate food deserts; that is, low-income neighborhoods where affordable and healthy food is lacking or limited. Findings of recent food access studies are, however, dramatically inconsistent. We argue that spatial scale and the level of aggregation used in constructing food access measures could account for a major portion of the varying results. We draw on an empirical study in the Tucson, Arizona, metropolitan area, to examine how varying geographic scales and aggregation methods affect food access assessment. We also provide an analysis to show how spatial scale and aggregation practices lead to inconsistent conclusions about food access and designation of food deserts.     

Inserting scales of urban politics: the possibilities of meso-urban governance shims

This article explores the geographic literature on governance at smaller-than-urban but larger-than-household scales, identifying a relative inattention to neighborhood and other partial-city scales of governance. Hegemonic power relationships are institutionalized at particular scales of state government (e.g. national, regional, municipal) and state-sanctioned governing units (e.g. jurisdictional districts or supranational bodies), which in turn shapes urban research. We propose a new analytical term, governance shims, to describe the insertion of new scales of governance between those already reified and reproduced; institutions at such scales may be unusually grounded in authority beyond the state. Geographers seem well positioned to explore the characteristics of governance shims at the meso-urban scale. We illustrate this by briefly tracing how common interest communities (CICs), housing cooperatives, and community land trusts (CLTs) might be analyzed through a shims approach. Provocatively, emergent governance at the meso-urban scale often leverages idiosyncratic structures of property ownership to produce institutional authority.     

Sub-regional snow cover distribution across the southern Appalachian Mountains

Abstract

Snowfall in the Southern Appalachian Mountain region of the eastern US is characterized by much spatiotemporal variability. Annual snowfall totals vary by up to 75 cm, and variations in snowfall intensity can lead to large differences in the local snowfall distribution. Research has shown that the synoptic pattern associated with the snowfall strongly influences the regional-scale distribution of snow cover. However, topographic variability results in locally complex snow cover patterns that are not well understood or documented. In this study, we characterize the snow covered area (SCA) and fractional snow cover associated with different synoptic patterns in 14 individual sub-regions. We analyze 63 snow events using Moderate-resolution Imaging Spectroradiometer standard snow cover products to ascertain both qualitative and quantitative differences in snow cover across sub-regions. Among sub-regions, there is significant variation in the snow cover pattern from individual synoptic classes. Furthermore, the percent SCA follows the regional snowfall climatology, and sub-regions with the highest elevations and northerly latitudes exhibit the greatest variability. Results of the sub-regional analysis provide valuable guidance to forecasters by contributing a deeper understanding of local snow cover patterns and their relationship to synoptic-scale circulation features.     

A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments

Geographic Object-Based Image Analysis (GEOBIA) is becoming more prevalent in remote sensing classification, especially for high-resolution imagery. Many supervised classification approaches are applied to objects rather than pixels, and several studies have been conducted to evaluate the performance of such supervised classification techniques in GEOBIA. However, these studies did not systematically investigate all relevant factors affecting the classification (segmentation scale, training set size, feature selection and mixed objects). In this study, statistical methods and visual inspection were used to compare these factors systematically in two agricultural case studies in China. The results indicate that Random Forest (RF) and Support Vector Machines (SVM) are highly suitable for GEOBIA classifications in agricultural areas and confirm the expected general tendency, namely that the overall accuracies decline with increasing segmentation scale. All other investigated methods except for RF and SVM are more prone to obtain a lower accuracy due to the broken objects at fine scales. In contrast to some previous studies, the RF classifiers yielded the best results and the k-nearest neighbor classifier were the worst results, in most cases. Likewise, the RF and Decision Tree classifiers are the most robust with or without feature selection. The results of training sample analyses indicated that the RF and adaboost. M1 possess a superior generalization capability, except when dealing with small training sample sizes. Furthermore, the classification accuracies were directly related to the homogeneity/heterogeneity of the segmented objects for all classifiers. Finally, it was suggested that RF should be considered in most cases for agricultural mapping.     

一种有效的多尺度时间段剖分方法与整数编码计算

围绕现有时间段编码存在的问题与现状,提出了一种时间段剖分编码方法:多尺度时间段的整数编码(multi-scale time segment integer coding,MTSIC)。该方法通过整数间形成的树状结构和大小排序,体现了不同尺度时间段间的先后、包含/被包含、相交等时间关系,最终实现了对多种尺度时间的统一整数编码化处理。在此基础上,还研究了MTSIC的时间关系的计算方法,用以支持基于时间段剖分的高效计算与查询,并初步探讨了MTSIC的应用方法与前景。试验表明,MTSIC的实现方便可靠,与传统方法转换便捷,在查询计算等方面具有很高的效率     

城市基本比例尺地形图动态联动更新机制

随着测绘技术的发展,城市基本比例尺地形图更新方法也越来越多样化。文中在总结分析国内基本比例尺地形图更新情况的基础上,通过对顺德现有的地形图动态更新机制的完善,提出一种基本比例尺地形图动态联动更新机制,并经实用证明效果良好。     

消费级无人机在大比例尺测图中应用与精度评价

以分别搭载大视场角普通相机和鱼眼相机的消费级无人机为例,在对相机的高精度标定基础上,选取典型丘陵和山地实验区分别对两种消费级无人机大比例尺测图能力进行实验和精度评价,结果证明消费级无人机在合理的航测方式下,其测图结果的空三精度、分辨率及高程精度均可满足国家1∶500大比例尺地形测图的精度要求,可以推广应用到小范围大比例尺测图和修测任务中。     

非物质文化系列专题制图方法探讨

针对传统制图方法在动态制图、数据更新和地图服务等方面的不足,该文提出了一套较为系统的非物质文化专题制图设计模式:引入建库与制图一体化思想,通过建立完整的非物质文化数据库,实现了数据入库、存储与管理的一体化控制;建库数据动态派生制图数据,不仅避免了数据冗余,而且达到了一库两用的目的;基于数据库设计,运用GIS地图表达功能,实现了非物质文化专题信息可视化,并总结了可视化过程中空间尺度变换时各类地图要素的选择或约束方法。最后通过实例证明了本文方法的可行性和有效性。