青海旅游资源信息系统设计

应用系统以ArcInfo和ArcView为开发平台 ,以软件工程理论为指导依据 ,应用GIS技术、数据库技术和模块设计技术为基本的技术支持 ,设计了青海旅游信息系统的结构及数据库 ,使用Avenue语言进行二次开发 ,并利用VisualBasic和Flash进行了界面开发及模块实现。该系统可实现青海旅游信息专题图浏览 ,景点查询、定位 ,多媒体方式介绍 ,以及路线选择功能 ,能为游客提供图、文、声并貌的旅游向导 ,实现了青海旅游资源的计算机化宣传 ,也可为GIS技术在青海盐湖资源、水力资源信息技术的应用提供借鉴     

Reflections and speculations on the progress in Geographic Information Systems (GIS): a geographic perspective

Great strides have been made in Geographic Information Systems (GIS) research over the past half-century. However, this progress has created both opportunities and challenges. From a geographic perspective, certain challenges remain, including the modelling of geographic-featured environments with GIS data model, the enhancement of GIS’s analysis functions for comprehensive geographic analysis and achieving human-oriented geographic information presentation. Several basic theoretical and technical ideas that follow the workflow and processes of geographic information induction, geographic scenario modelling, geographic process analysis and geographic environment representation are proposed to fill the gaps between GIS and geography. We also call for designing methods for big geographic data-oriented analysis, making best use of videos and developing virtual geographic scenario-based GIS for further evolution.     

Replication of a terrain stability mapping using an Artificial Neural Network

Subjective geomorphic mapping is a method commonly used for landslide hazard zonation. This method relies heavily on the skills and experience of the mapper, and therefore, its major drawbacks are the high costs and lack of consistency between products generated by different terrain mappers. In this study a method for cost-effective and consistent replication of subjective geomorphic mappings is demonstrated, by using a type of Artificial Neural Network named Learning Vector Quantization. This paper presents a study conducted in the Canadian province of British Columbia employing a high-quality data set. By utilizing Learning Vector Quantization, stable and unstable terrains were delineated with a similarity of approximately 91%, compared to the mapping produced by terrain specialists. Also, in this process, slope, elevation, aspect, and existing geomorphic processes were identified as the terrain attributes that contributed most to the quality of the mapping.     

Prediction of Aquifer Vulnerability to Pesticides Using Fuzzy Rule-Based Models at the Regional Scale

Contamination of ground water has been a major environmental concern in recent years. The potential for ground-water contamination by pesticides depends on porous media, solute, and hydrologic parameters. Although sophisticated deterministic computer models are available for assessing aquifer-contamination potential on a site-by-site basis, most deterministic models are too complex for vulnerability assessment on a regional scale because they require input data that are spatially and temporally variable, and which may not be available at this scale. Therefore, development of an affordable model that is robust under conditions of uncertainty at the watershed scale with minimum input of field data becomes a useful ground-water management tool. The purpose of this study was to examine the usefulness of fuzzy rule-based techniques in predicting aquifer vulnerability to pesticides at the regional scale. The objectives were to (1) develop fuzzy rule-based models using the same input parameters contained in an index-based model (i.e., the modified DRASTIC model), (2) determine the sensitivity of fuzzy rule model predictions, (3) compare the outputs of the fuzzy rule-based models with those of the modified DRASTIC model and with the results of aquifer water-quality analyses, and (4) examine the spatial variability of field parameters around contaminated wells of the Alluvial aquifer in Woodruff County Arkansas. The fuzzy rule-based model for objective (1) was developed using similar parameter weights and ratings as the modified DRASTIC model. For objective (2), fuzzy rule-based models were created using fewer parameters than the modified DRASTIC model. Sensitivity of the fuzzy rule-based models was determined using different combinations of weights of the four input parameters in DRASTIC. It was found that variations in the weights of the input parameters and number of fuzzy sets influenced the location of the aquifer-vulnerability categories as well as the area within each fuzzy category. The fuzzy rule models tended to predict somewhat higher vulnerabilities of the Alluvial aquifer than the modified DRASTIC model. The fuzzy rule base that had the soil-leaching index (S) as the highest weight was chosen as the best fuzzy rule model in predicting potential contamination by pesticides of the aquifer. In general, the fuzzy rule models tended to overestimate the vulnerability of the aquifer in the study area.     

Travel impedance agreement among online road network data providers

ABSTRACT

Online mapping providers offer unprecedented access to spatial data and analytical tools; however, the number of analytical queries that can be requested is usually limited. As such, Volunteered Geographic Information (VGI) services offer a viable alternative, provided that the quality of the underlying spatialtheir data is adequate. In this paper, we evaluate the agreement in travel impedance between estimates from MapQuest Open, which embraces OpenStreetMap (OSM) data–a is based on VGI datasetfrom OpenStreetMap (OSM), and estimates from two other popular commercial providers, namely Google Maps? and ArcGIS? Online. Our framework is articulated around three components, which simulates potentialcalculates shortest routes, estimates their travel impedance using a routing service Application Program Interface (API), and extracts the average number of contributors for each route. We develop an experimental setup with a simulated dataset for the state of North Carolina. Our results suggest a strong correlation of travel impedance among all three road network providers. and that travel impedanceThe agreement is the greatest in areas with a denser road network and the smallest for routes of shorter distances. Most importantly, tTravel estimates from MapQuest Open are nearly identical to both commercial providers when the average number of OSM contributors along the route is larger. The latter finding contributes to a growing body of literature on Linus’s law, recognizing that a larger group of contributors holds the potential to validate and correct inherent errors to the source dataset.     

全球离散格网:回顾与展望(英文)

全球离散格网是数字球体表达的基本数据模型,它提供了一种栅格化表达地球弯曲表面的方法,催生了数字地球。该文回顾全球离散格网与数字地球的发展史,评析了以谷歌地球为代表的第一代数字地球的技术实现。在为科学界及社会公众提供地表与近地表信息交流方面,数字地球的有效性面临挑战,第一代数字地球在很多方面存在不足,其中最显著的缺陷是不能基于社会与环境过程模型模拟地球的将来状态。展望未来,简要分析了下一代数字地球应具有的基本特征。     

Application of GIS Processing Techniques for Producing Mineral Prospectivity Maps—A Case Study: Mesothermal Au in the Swayze Greenstone Belt,Ontario, Canada

A Geographic Information System (GIS) is used to prepare and process digital geoscience data in a variety of ways for producing gold prospectivity maps of the Swayze greenstone belt, Ontario, Canada. Data used to produce these maps include geologic, geochemical, geophysical, and remotely sensed (Landsat). A number of modeling methods are used and are grouped into data-driven (weights of evidence, logistic regression) and knowledge-driven (index and Boolean overlay) methods. The weights of evidence (WofE) technique compares the spatial association of known gold prospects with various indicators (evidence maps) of gold mineralization, to derive a set of weights used to produce the final gold prospectivity map. Logistic regression derives statistical information from evidence maps over each known gold prospect and the coefficients derived from regression analysis are used to weight each evidence map. The gold prospectivity map produced from the index overlay process uses a weighting scheme that is derived from input by the geologist, whereas the Boolean method uses equally weighted binary evidence maps.The resultant gold prospectivity maps are somewhat different in this study as the data comprising the evidence maps were processed purposely differently for each modeling method. Several areas of high gold potential, some of which are coincident with known gold prospects, are evident on the gold prospectivity maps produced using all modeling methods. The majority of these occur in mafic rocks within high strain zones, which is typical of many Archean greenstone belts.     

GIS与土壤溶质运移模型结合研究进展

地理信息系统对土壤溶质模型研究而言，使用者的要求与GIS所能提供的功能之间，还存在巨大的差距。出于对环境问题的关注，土壤中水分及溶质运移的规律及其对环境的影响，成为当前研究的热点。随着对土壤溶质运移模型研究的深入，一方面由于田间土壤特性具有很大的空间变异；另一方面，在实际应用中，往往溶质运移的宏观特征而非微观特征，具有更重要的意义。将溶质运移模型与GIS技术结合，定量研究空间尺度的溶质运移，成为溶质运移研究的必然发展趋势。由于计算机软硬件技术的发展，GIS正处于一个高速发展的时期。将GIS与溶质运移模型相结合，或者进一步，以GIS理论和技术为基础，建立基于GIS的溶质运移模型，将对溶质运移的规律及其对环境的影响，做出更深入和准确的描述。     

中国南极地理信息系统的设计及其在互联网上的实现

利用GeoStar地理信息系统基础平台 ,结合我国近 2 0年来的南极考察测绘资料 ,建立了中国南极地理信息系统 ,并在互联网上发布。本文简述了该系统的设计思想和基本功能 ,在此基础上 ,对其今后更好地为我国南极考察、科研和管理提供服务作了展望。     

Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression

This work has evaluated the probability of earthquake-triggered landslide occurrence in the whole of El Salvador, with a Geographic Information System (GIS) and a logistic regression model. Slope gradient, elevation, aspect, mean annual precipitation, lithology, land use, and terrain roughness are the predictor variables used to determine the dependent variable of occurrence or non-occurrence of landslides within an individual grid cell. The results illustrate the importance of terrain roughness and soil type as key factors within the model — using only these two variables the analysis returned a significance level of 89.4%. The results obtained from the model within the GIS were then used to produce a map of relative landslide susceptibility.     

安徽省级资源环境空间信息服务系统研究与开发

研究建立一个结构规范、服务便捷的省级资源环境空间信息网，实现资源环境空间信息的网络共享和服务已经是迫在眉睫。安徽省资源环境空间信息网首次在省政府网络上实现了资源环境空间信息的快速访问，具有数据最大、覆盖面全、类型多样的特点，并且采用SuperMap国产GIS软件进行开发，运行稳定、安全可靠，具有很好的可扩展性。系统地介绍了安徽省资源环境空间信息网的系统结构、数据库建设、数据更新和系统的主要功能。     

Positional accuracy and measurement error in digital databases of land use: an empirical study

This paper discusses the issues of positional accuracy and measurement error in the context of a large empirical study of landscape change in England and Wales. The epsilon band model of digitizing accuracy is used to make estimates of the levels of positional uncertainty and measurement error that is due to digitizing polygon outlines. The degree of error expected had the same polygons been captured in raster format is then determined. These results prompt a general discussion of the nature of error in spatial databases.     

Student Attitudes and the Impact of GIS on Thinking Skills and Motivation

Abstract

The value of GIS within school curricula seems well perceived but ill-substantiated. This paper discusses the role of GIS in the development of higher order thinking skills and in motivating student learning. It then reports on attitudinal surveys undertaken before and after student exposure to GIS-related tasks. The tasks formed part of four subjects within three year levels. Data were collected from 109 students from two schools. Individual survey items were evaluated using a t-test for paired means and a two-tailed test for significance. Weighted average responses for the five constructs being surveyed were calculated. Attitudinal improvements were found in three of these: perceived usefulness of computers, perceived control of computers and behavioural attitude to computers. The weighted average declined for the remaining two constructs: attitude to subject and affective attitude toward computers. These data suggest that GIS influences student ability to utilise higher level thinking skills within a context of enhanced relevance.     

空间负载平衡探讨

设计、应用合理的空间负载平衡算法是当前分布式地理信息系统研究的一个重要方向。该文介绍了空间负载平衡的基本概念,给出了空间负载平衡的基本算法和改进算法及其空间应用研究现状。对于各种算法进行对比讨论,分析其优劣,指出存在的问题和未来研究的方向。     

地理信息系统支持下的坡面太阳辐射计算

本文介绍了在地理信息系统(GIS)的空间数据席支持下的区域坡面太阳辐射计算方法。使用该方法,可用计算机按地表实际的地形参数计算山区地表接受太阳总辐射,直接辐射和散射辐射的日、月、年总量,揭示其空间分布规律。这对区域的自然与生态环境研宄具有更要价值。     

An adaptive approach to selecting a flow‐partition exponent for a multiple‐flow‐direction algorithm

Most multiple‐flow‐direction algorithms (MFDs) use a flow‐partition coefficient (exponent) to determine the fractions draining to all downslope neighbours. The commonly used MFD often employs a fixed exponent over an entire watershed. The fixed coefficient strategy cannot effectively model the impact of local terrain conditions on the dispersion of local flow. This paper addresses this problem based on the idea that dispersion of local flow varies over space due to the spatial variation of local terrain conditions. Thus, the flow‐partition exponent of an MFD should also vary over space. We present an adaptive approach for determining the flow‐partition exponent based on local topographic attribute which controls local flow partitioning. In our approach, the influence of local terrain on flow partition is modelled by a flow‐partition function which is based on local maximum downslope gradient (we refer to this approach as MFD based on maximum downslope gradient, MFD‐md for short). With this new approach, a steep terrain which induces a convergent flow condition can be modelled using a large value for the flow‐partition exponent. Similarly, a gentle terrain can be modelled using a small value for the flow‐partition exponent. MFD‐md is quantitatively evaluated using four types of mathematical surfaces and their theoretical ‘true’ value of Specific Catchment Area (SCA). The Root Mean Square Error (RMSE) shows that the error of SCA computed by MFD‐md is lower than that of SCA computed by the widely used SFD and MFD algorithms. Application of the new approach using a real DEM of a watershed in Northeast China shows that the flow accumulation computed by MFD‐md is better adapted to terrain conditions based on visual judgement.     

Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong

Steep terrain and high a frequency of tropical rainstorms make landslide occurrence on natural terrain a common phenomenon in Hong Kong. This paper reports on the use of a Geographical Information Systems (GIS) database, compiled primarily from existing digital maps and aerial photographs, to describe the physical characteristics of landslides and the statistical relations of landslide frequency with the physical parameters contributing to the initiation of landslides on Lantau Island in Hong Kong. The horizontal travel length and the angle of reach, defined as the angle of the line connecting the head of the landslide source to the distal margin of the displaced mass, are used to describe runout behavior of landslide mass. For all landslides studied, the horizontal travel length of landslide mass ranges from 5 to 785 m, with a mean value of 43 m, and the average angle of reach is 27.7°. This GIS database is then used to obtain a logistic multiple regression model for predicting slope instability. It is indicated that slope gradient, lithology, elevation, slope aspect, and land-use are statistically significant in predicting slope instability, while slope morphology and proximity to drainage lines are not important and thus excluded from the model. This model is then imported back into the GIS to produce a map of predicted slope instability. The results of this study demonstrate that slope instability can be effectively modeled by using GIS technology and logistic multiple regression analysis.     

Estimated Sand and Gravel Resources of the South Merrimack, Hillsborough County, New Hampshire, 7.5-Minute Quadrangle

A computer methodology is presented that allows natural aggregate producers, local governmental, and nongovernmental planners to define specific locations that may have sand and gravel deposits meeting user-specified minimum size, thickness, and geographic and geologic criteria, in areas where the surficial geology has been mapped. As an example, the surficial geologic map of the South Merrimack quadrangle was digitized and several digital geographic information system databases were downloaded from the internet and used to estimate the sand and gravel resources in the quadrangle. More than 41 percent of the South Merrimack quadrangle has been mapped as having sand and (or) gravel deposited by glacial meltwaters. These glaciofluvial areas are estimated to contain a total of 10 million m³ of material mapped as gravel, 60 million m³ of material mapped as mixed sand and gravel, and another 50 million m³ of material mapped as sand with minor silt. The mean thickness of these areas is about 1.95 meters. Twenty tracts were selected, each having individual areas of more than about 14 acres (5.67 hectares) of stratified glacial-meltwater sand and gravel deposits, at least 10-feet (3.0 m) of material above the watertable, and not sterilized by the proximity of buildings, roads, streams and other bodies of water, or railroads. The 20 tracts are estimated to contain between about 4 and 10 million short tons (st) of gravel and 20 and 30 million st of sand. The five most gravel-rich tracts contain about 71 to 82 percent of the gravel resources in all 20 tracts and about 54–56 percent of the sand. Using this methodology, and the above criteria, a group of four tracts, divided by narrow areas sterilized by a small stream and secondary roads, may have the highest potential in the quadrangle for sand and gravel resources.

GIS支持下青海湖地区草地蝗虫发生的气候因子分析

由于青海湖地区的草地蝗虫对气温、降水等气候因子的敏感性 ,因此气候的空间分异明显地决定了蝗虫的空间分布。根据该区蝗虫优势种的生命史及关键时期相应地选取 5种气候指标 ,即蝗虫发生当年 1月的负地温的积温、5月下旬的积温、6月下旬的积温、5 - 7月的湿润指数以及上年 8月的湿润指数 ,在地理信息系统软件Arc/Info的支持下 ,建立了青海湖地区草地蝗虫发生信息的GIS样点数据库及 5种气候指标的空间分布式数据库 ,并分别进行蝗虫发生与这 5种气候指标的空间叠置分析 ,以提取草地蝗虫发生信息的各气候指标数据库。T -检验表明 ,此 5种气候指标对蝗虫空间分布的影响均极为显著。最后 ,以这些气候指标为自变量 ,建立了用于该区草地蝗虫发生预测的气候学模型。     

遥感、地图、地理信息系统—体化应用

遥感、地图和地理信息系统（ＯＩＳ）三者呈“你中有我，我中有你”的相辅相成关系．三者一体化应用使地球科学得以进展，又能在资源开发、环境保护、自然灾害监测评价等方面发挥重要作用．一体化应用的基础是掌握三者的学科一技术特性与相通关系．