共查询到20条相似文献，搜索用时 15 毫秒
1.
Positional Accuracy of Spatial Data: Non-Normal Distributions and a Critique of the National Standard for Spatial Data Accuracy 总被引：5，自引：0，他引：5
Paul A Zandbergen 《Transactions in GIS》2008,12(1):103-130
Spatial data quality is a paramount concern in all GIS applications. Existing spatial data accuracy standards, including the National Standard for Spatial Data Accuracy (NSSDA) used in the United States, commonly assume the positional error of spatial data is normally distributed. This research has characterized the distribution of the positional error in four types of spatial data: GPS locations, street geocoding, TIGER roads, and LIDAR elevation data. The positional error in GPS locations can be approximated with a Rayleigh distribution, the positional error in street geocoding and TIGER roads can be approximated with a log‐normal distribution, and the positional error in LIDAR elevation data can be approximated with a normal distribution of the original vertical error values after removal of a small number of outliers. For all four data types considered, however, these solutions are only approximations, and some evidence of non‐stationary behavior resulting in lack of normality was observed in all four datasets. Monte‐Carlo simulation of the robustness of accuracy statistics revealed that the conventional 100% Root Mean Square Error (RMSE) statistic is not reliable for non‐normal distributions. Some degree of data trimming is recommended through the use of 90% and 95% RMSE statistics. Percentiles, however, are not very robust as single positional accuracy statistics. The non‐normal distribution of positional errors in spatial data has implications for spatial data accuracy standards and error propagation modeling. Specific recommendations are formulated for revisions of the NSSDA. 相似文献
2.
3.
在GIS应用中,涉及到大量的模型应用,这些模型包括了利用GIS进行空间信息处理的大部分阶段中所用到的模型.模型处理以及分析结果往往是进行下一步应用的基础,因此模型处理结果的误差和不确定性制约了实际的GIS应用.影响空间数据处理模型的误差和不确定性的因素主要包括:定位和特征信息,制图,空间分析,空间数据库以及空间数据处理模型等所具有的误差和不确定性.主要分析了空间数据处理模型误差和不确定性的表达、来源以及分析方法. 相似文献
4.
《制图学和地理信息科学》2013,40(1):42-50
Geographic Information Systems (GIS) algorithms are used to simplify, edge match, and overlay large data sets. Some of these GIS processes can cause considerable positional changes to spatial data which are sometimes difficult to assess. This study presents a visualization technique for the evaluation of GIS algorithms and their positional effects on spatial data. The technique is applicable to vector representations and can be used with any GIS operation that changes vector geometry. The technique employs a uniform reference grid to exploit the visual skills of human operators in the evaluation of positional changes in spatial databases after applying GIS transformations. Changes in grid cell length, area, and shape, along with a set of displacement vectors, can be analyzed to evaluate positional changes in spatial data and to compare the behaviors of different algorithms. The technique can assist GIS users in the documentation of positional changes and in the comparison and selection of algorithms for various mapping tasks. Such a technique may assist software developers in creating and selecting appropriate GIS algorithms. 相似文献
5.
There has been a great deal of research about errors in geographic information and how they affect spatial analyses. A typical GIS process introduces various types of errors at different stages, and such errors usually propagate into errors in the result of a spatial analysis. However, most studies consider only a single error type thus preventing the understanding of the interaction and relative contributions of different types of errors. We focus on the level of detail (LOD) and positional error, and perform a multiple error propagation analysis combining both types of error. We experiment with three spatial analyses (computing gross volume, envelope area, and solar irradiation of buildings) performed with procedurally generated 3D city models to decouple and demonstrate the magnitude of the two types of error, and to show how they individually and jointly propagate to the output of the employed spatial analysis. The most notable result is that in the considered spatial analyses the positional error has a much higher impact than the LOD. As a consequence, we suggest that it is pointless to acquire geoinformation of a fine LOD if the acquisition method is not accurate, and instead we advise focusing on the accuracy of the data. 相似文献
6.
7.
8.
9.
10.
地理信息系统中几何特征不确定性的通用模型：从1维到N维 总被引：6，自引：1，他引：6
本文提出了描述地理信息系统中几何特征位置不确定性的一个通用模型，从１维到Ｎ维，在每１维中，ＧＩＳ中的特征被划分为点，线段及线性特征。由于ＧＩＳ中数据含有误差。这些特征在ＧＩＳ中位置未必与其现实世界中的真实位置一致，而其真实位置只是在围绕着ＧＩＳ中量测位置的某一个区域内，本文提出的模型给出了这些区域的统计描述。 相似文献
11.
Eliseo Clementini Brahim Lejdel Sabrina Mazzagufo Robert Laurini 《Transactions in GIS》2021,25(1):491-515
In GIS, spatial analysis is based on the use of spatial operations such as testing the spatial relations between features. Often, such tests are invalidated by errors in datasets. It is a very common experience that two bordering regions which should obey the topological relation “meet” fall instead in the “overlap” category. The situation is exacerbated when applying topological operators to regions that come from different datasets, where resolution and error sources are different. Despite the problem being quite common, up to now no standard approach has been defined to deal with spatial relations affected by errors of various origins. Referring to topological relations, we define a model to extend the eight Egenhofer relations between two simple regions: we call them homological relations (H‐relations). We discuss how exact topological relations can be extracted from observed relations and discuss the case of irregular tessellations, where errors have the most impact on vector data. In the proposed case study within the domain of geographic crowdsourced data, we propose algorithms for identifying homological regions and obtaining a corrected tessellation. This methodology can be considered as a step for quality control and the certification of irregular tessellations. 相似文献
12.
GIS空间数据库系统误差控制的黑箱方法 总被引：1，自引：0，他引：1
ＧＩＳ建库数据中系统误差的控制是当前ＧＩＳ数据质量研究领域的重要方向之一。本文提出一种直接估计系统误差综合效应的黑箱方法,而传统的仿射变换将成为该法的特例。文中首先阐述黑箱方法的基本原理,然后根据多元统计学工具建立黑箱校正模型,最后给出模型辨识和参数辨识的具体方法。 相似文献
13.
Matt Duckham 《Transactions in GIS》2002,6(2):179-193
The current lack of error-sensitive functionality found in commercial GIS is at odds with the research focus error-sensitive GIS development has enjoyed over recent years. In an attempt to address this undesirable situation, this paper explores the development of error handling capabilities within GIS from the perspective of GIS users. Increasingly, GIS users need to fulfil a variety of different roles, from database designers and data capture personnel through to decision makers, each of which may require an awareness of data quality issues. The user-oriented approach taken here contrasts with the predominately developer-oriented perspective in the literature. The paper concludes that from a user's perspective it is possible to identify a number of simple reformulations of current research that would help bring about the desired increase in availability and use of error-sensitive functionality within commercial GIS technology and applications. 相似文献
14.
研究了通过扫描数字化试验，获取了GIS中特征点对点误差的基础数据，分析了误差的成因，讨论了误差的分布规律和统计特性，为扫描数字化精度控制及数据质量的评价提供了参考依据。 相似文献
15.
矢量GIS平面一般曲线等概率密度误差模型 总被引：1，自引：0，他引：1
基于数值分析、经典概率论和线状实体误差分布机理，定义了矢量GIS平面一般曲线等概率密度误差模型的概念，提出了平面一般曲线等概率密度误差模型尺度因子的概念和确定方法，姑合平面一般曲线落入其相应等概率密度误差模型内的概率算法和概率置信水平，确定了尺度因子的具体数值，给出了平面一般曲线等概率密度误差模型的形状与规模。 相似文献
16.
Spatial discretisation plays an important role in many numerical environmental models. This paper studies the control of spatial discretisation in coastal oil spill modelling with a view to assure the quality of modelling outputs for given spatial data inputs. Spatial data analysis techniques are effective for investigating and improving the spatial discretisation in different phases of the modelling. Proposed methods are implemented and tested with experimental models. A new “Automatic Search” method based on GIS zone design principles is shown to significantly improve discretisation of bathymetric data and hydrodynamic modelling outputs. The concepts and methods developed in the study are expected to have general relevance for a range of applications in numerical environmental modelling. 相似文献
17.
Fulong Wu 《Journal of Geographical Systems》1999,1(3):199-218
The purpose of this paper is to argue for a novel use of geographical information system (GIS) as an exploratory device for
understanding complex space-time processes. Conventionally, a GIS has been configured as a spatial database management system.
Therefore, the capabilities of data input, storage, retrieval, manipulation and display have been well developed, whereas
the analytical and dynamic processing and modelling capabilities are under-developed. The importance of integrating GIS with
dynamic and analytical models has been widely recognised. Extending the use of GIS into spatial simulation represents a plausible
research direction. On the other hand, the usefulness of conventional deductive model becomes limited when dealing with complex
space-time processes. In essence, the inherent complexity calls for a simulation approach. The new nonlinear modelling paradigm,
for example, cellular automata (CA), opened a way in which behaviourally-richer dynamics and more micro-spatial data could
be incorporated into understanding space-time processes. It is argued therefore that GIS can be used as a platform – a controlled
environment or laboratory – for exploring complex space-time processes. The discussion of GIS-based simulation in this paper
is illustrated with a primitive simulation of the evolution of urban spatial structure.
Received: 2 July 1997/Accepted: 19 November 1998 相似文献
18.
Andrew S. Foy Laurence W. Carstensen Stephen P. Prisley James B. Campbell Randel L. Dymond 《Transactions in GIS》2015,19(4):604-618
Advances in computer technologies have improved the quality of maps, making map comparison and analysis easier, but uncertainty and error still exist in GIS when overlaying geographic data with multiple or unknown confidence levels. The goals of this research are to review current geospatial uncertainty literature, present the Error‐Band Geometry Model (EBGM) for classifying the size and shape of spatial confidence intervals for vector GIS data, and to analyze the interpretability of the model by looking at how people use metadata to classify the uncertainty of geographic objects. The results from this research are positive and provide important insight into how people interpret maps and geographic data. They suggest that uncertainty is more easily interpreted for well defined point data and GPS data. When data is poorly defined, people are unable to determine an approach to model uncertainty and generate error‐bands. There is potential for using the EBGM to aid in the development of a GIS tool that can help individuals parameterize and model spatial confidence intervals, but more research is needed to refine the process by which people use the decision tree. A series of guiding questions or an “uncertainty wizard” tool that helps one select an uncertainty modeling approach might improve the way people apply this model to real‐world applications. 相似文献
19.
矢量GIS平面随机线元误差模型建模机理 总被引：8，自引：2，他引：8
基于随机线元误差分布机理 ,研究了GIS中平面随机线元位置不确定性误差模型的建模原理 ,提出了决定误差模型形状的形状因子与误差模型规模的尺度因子的概念与确定方法 ,结合线元落入其等概率密度误差模型内的概率算法 ,解决了平面随机线元误差模型的形状与规模 相似文献
20.
A heuristic‐based approach to mitigating positional errors in patrol data for species distribution modeling 
下载免费PDF全文
下载免费PDF全文 Species distribution modeling (SDM) at fine spatial resolutions requires species occurrence data of high positional accuracy to achieve good model performance. However, wildlife occurrences recorded by patrols in ranger‐based monitoring programs suffer from positional errors, because recorded locations represent the positions of the ranger and differ from the actual occurrence locations of wildlife (hereinafter referred to as positional errors in patrol data). This study presented an evaluation of the impact of such positional errors in patrol data on SDM and developed a heuristic‐based approach to mitigating the positional errors. The approach derives probable wildlife occurrence locations from ranger positions, utilizing heuristics based on species preferred habitat and the observer's field of view. The evaluations were conducted through a case study of SDM using patrol records of the black‐and‐white snub‐nosed monkey (Rhinopithecus bieti) in Yunnan, China. The performance of the approach was also compared against alternative sampling methods. The results showed that the positional errors in R. bieti patrol data had an adverse effect on SDM performance, and that the proposed approach can effectively mitigate the impact of the positional errors to greatly improve SDM performance. 相似文献