共查询到20条相似文献，搜索用时 15 毫秒
1.
GIS-T线性数据模型研究现状与趋势 总被引：13，自引：0，他引：13
目前GIS-T已有若干线性数据模型,但大多数据模型还没得到实际应用,仍存在一些问题需要解决。该文分析讨论GIS-T线性数据模型,介绍了具有代表性的几种模型,并将各模型对车道及时态的支持进行比较分析和评估。指出当前GIS-T线性数据模型普遍存在的问题,提出基于三维的GIS-T时空数据模型是未来的发展趋势。 相似文献
2.
时空数据模型综述 总被引：2，自引：0，他引：2
虽然相对传统的GIS数据模型而言,人们对时空数据模型的研究起步较晚,但是大量的时空数据模型已经被提出了.在综述已有时空数据模型时,就如何区别时空数据模型的异同,众多研究人员和学者更多地是比较模型优缺点或罗列和陈述各模型针对某一案例的实践和应用,而没有阐述模型间的本质区别,没有过多地解释模型扩展及其关联性,也就无法跟踪已有模型的扩展、变异和发展趋势,最终导致在选择模型的应用、实践和整合其他非一时空数据模型时,不能做出最优抉择.与众多相关时空数据模型的综述文献不同,本文进一步提升和归纳已有模型,主要集中叙述众多相关时空数据模型的扩展和关联性,阐述模型间的本质区别,呈现模型的演变过程,从而为人们在应用和实践时空数据模型时提供科学的指导,为模型的扩展和新模型的研究提供理论依据和参考. 相似文献
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净初级生产力(NPP)是衡量碳循环、指导土地利用、评估生态安全、指示环境变化、反映粮食安全等的重要参量,其估算受模型构建机理和生态系统关键地表参数输入的影响。近年来,随着遥感数据的不断丰富和遥感处理技术的快速发展,集成遥感数据的NPP估算模型相较于仅采用气候、土壤等传统观测数据的非遥感模型,在分析时空异质性等方面的优势日益凸显。本文基于Web of Science和CNKI两大数据库,采用文献统计分析方法,系统回顾NPP研究概况及国内外集成遥感数据的NPP估算模型的近期进展;并将集成遥感数据进行NPP估算的模型分为统计模型、光能利用率模型、过程模型及耦合模型四类;重点阐述了各类遥感估算模型的机理、差异性、适宜性及局限性;最后,在分析NPP遥感估算面临困境和科学挑战的基础上,从机理与影响因素、数据基础、参数反演、时空尺度拓展、软硬件支撑等方面对未来研究进行了展望。 相似文献
5.
Samanta Biswajit Bandopadhyay Sukumar Ganguli Rajive Dutta Sridhar 《Natural Resources Research》2004,13(3):189-200
In this paper, sparse data problem in neural network and geostatistical modeling for ore-grade estimation was addressed in the Nome offshore placer gold deposit. The problem of sparse data arises because of the random data division into training, validation, and test subsets during ore-grade modeling. In this regard, the possibility of generating statistically dissimilar data subsets by random data division was also explored through a simulation exercise. A combined approach of data segmentation and application of a Kohonen network then was used to solve the data division problem. Two neural networks and five kriging models were applied for grade modeling. The neural network was trained using an early stopping method. Performance evaluation of the models was carried out on the test data set. The study results indicated that all the models that were investigated in this study performed almost equally. It was also revealed that by using the secondary variable watertable depth the neural network and the kriging models slightly improved their prediction precision. Further, the overall R
2 of the models was poor as a result of high nugget (noisy) component in ore-grade variation. 相似文献
6.
Xiaoying Yang David R. Steward Willem J. de Lange Simon Y. Lauwo Richard M. Chubb Eric A. Bernard 《International journal of geographical information science》2013,27(5):677-694
Development of a conceptualization of a hydrogeologic system serves as the basis of groundwater modeling. While existing groundwater data models are designed to store groundwater system information, none is designed to capture its conceptual view. This study addresses this need by presenting a new object-oriented Conceptualization Groundwater Data Model that represents a groundwater system as a series of aquifer layers with defined aquifer properties and water boundary conditions. A case study is presented that develops the conceptual view of the groundwater system beneath Konza Prairie. This single conceptualization is used to support groundwater models across existing technologies of finite difference, finite element, and analytical element methods. While the models each employ different mathematics, data input files, and formats, all models are founded on the same conceptualization process that is represented using this new data model. The case study illustrates the data model's promise as an effective mechanism for groundwater system conceptualization and data storage, and utility for various groundwater computational models. This conceptualization of a groundwater data model suggests a new focus on incorporating system conceptualization into data model design. 相似文献
7.
Anthony J. McCue Michael J. McGrath 《International journal of geographical information science》2014,28(8):1590-1609
Wildlife ecologists frequently make use of limited information on locations of a species of interest in combination with readily available GIS data to build models to predict space use. In addition to a wide range of statistical data models that are more commonly used, machine learning approaches provide another means to develop predictive spatial models. However, comparison of output from these two families of models for the same data set is not often carried out. It is important that wildlife managers understand the pitfalls and limitations when a single set of models is used with limited GIS data to try to predict and understand species distribution. To illustrate this, we carried out two sets of models (generalized linear mixed models (GLMMs) and boosted regression trees (BRTs)) to predict geographic occupancy of the eastern coyote (Canis latrans) on the island of Newfoundland, Canada. This exercise is illustrative of common spatial questions in wildlife research and management. Our results show that models vary depending on the approach (GLMM vs. BRT) and that, overall, BRT had higher predictive ability. Although machine learning has been criticized because it is not explicitly hypothesis-driven, it has been used in other areas of spatial modelling with success. Here, we demonstrate that it may be a useful approach for predicting wildlife space use and to generate hypotheses when data are limited. The results of this comparison can help to improve other models for species distributions and also guide future sampling and modelling initiatives. 相似文献
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Additive models in mining and exploration 总被引：2，自引：0，他引：2
Konrad Wälder 《Natural Resources Research》1997,6(1):11-25
In this paper we present the use of additive models (AMs) for geostatistical applications. AMs are generalizations of linear
regression models which hold the central place in the toolbox of applied statisticians. Generally speaking, the linear relationship
between response and predictors is replaced with a general functional form. Recently such models were introduced in geostatistics.
Especially, we give an approach for binary data. In this case we get generalized additive models (GAMs). Logistic regression
is quite popular in medical and biological research. Using logit links also in GAMs we get so called additive logistic models.
An application for geostatistical data is introduced. In a second approach we use AMs for spatial prediction and surface modelling.
In both cases an advantage of multivariate data can be taken. The proposed applications can be used in the development of
exploration strategies, especially in the early stage of exploration 相似文献
10.
土地利用变化的多尺度空间自相关分析——以内蒙古翁牛特旗为例 总被引：52，自引：5，他引：47
用传统统计学方法模拟和解释土地利用变化的前提条件是研究分析的数据在统计上必须独立且均匀分布。但是空间数据相互之间通常具有依赖性 (即空间自相关),某一变量的值随着测定距离的缩小而变得更相似或更为不同。由于经典线性回归方法未能抓住数据的空间自相关特征,而空间自相关包含一些有用的信息,为了克服这一缺点,利用Moran的I系数自相关图来描述研究区土地利用变化的空间自相关,并且建立了不仅考虑回归而且又考虑空间自相关的混合回归-空间自相关回归模型 (即空间滞后模型)。研究得到：① 研究区土地利用变化模型中不但自变量之间而且因变量之间存在空间正自相关,这表明土地利用变化数据的空间自相关很强;② Moran的I系数随着尺度的变粗而减小,这是由于数据平均时的滤波特性和Moran的I系数对距离的非线性特征造成的;③ 经典线性回归模型的残差也表现出正相关,这表明标准的多元线性回归模型未能考虑土地利用数据所存在的空间依赖性;④ 混合回归-空间自相关回归模型 (即空间滞后模型) 的残差未存在空间自相关,并且有更好的拟合度;⑤ 相对于经典线性回归模型,混合回归-空间自相关回归模型 (即空间滞后模型) 对于存在空间自相关性的数据来说有着统计上的合理性,而经典线性回归模型未能考虑这些因素。 相似文献
11.
当前时空数据模型多以描述空间实体的离散变化为主。该文中对空间运动对象在抽象层次的无限连续空间、离散层次的有限离散空间上的数据类型进行分析和定义，将其分别划分为时间类型、空间类型和时态类型来研究，并提出支持空间运动对象的表示方法和操作方式。该方法既能表示空间实体的连续运动，也能表示其离散变化，为空间运动对象时空数据模型的建立奠定了基础。 相似文献
12.
Effects of mechanical layering on volcano deformation 总被引：1，自引：0，他引：1
The migration and accumulation of magma beneath volcanoes often causes surface displacements that can be measured by geodetic techniques. Usually, deformation signals are explained using models with uniform mechanical properties. In this paper, we study surface displacements due to magma chamber inflation, using heterogeneous finite element models. We first present a systematic analysis of the influence of mechanical layering, showing that the stiffness contrast significantly affects the entity and the pattern of vertical and radial displacements. Second, as an example we apply the models to interpret ground displacements at Darwin volcano (Galápagos Islands) as revealed by InSAR data in the period 1992–1998. The considered models suggest that geodetic data interpreted using homogeneous models leads to underestimation of the source depth and volume change. Thus, we propose correction factors for the source parameters estimated by homogeneous models, in order to consider a range of variation due to mechanical layering as analysed in this study. The effect of the mechanical heterogeneities affects the correct understanding of geodetic data and also influences the evaluation of a volcanic hazard potential. 相似文献
13.
Most food insecure countries do not have long-term records of either agricultural drought or the impacts of agricultural drought on food security. This lack of data impedes famine early warning and crop insurance programs. One recent paper addresses this issue by using resampled rainfall data, a basic crop yield model, and linear regression to simulate distributions of grain yield. We expand on this process by incorporating flexible regression models and defining a set of criteria to test model performance. We also examine how well a model fit on national data can emulate yield distributions at regions within a country. We find that models with spatially varying coefficients are better able to simulate distributions than basic linear regression models. Generalized additive models also perform well but do not offer substantial improvement over varying coefficient models. We also find that simulated yield distributions are most accurate in higher producing regions that have lower within region diversity of yields. 相似文献
14.
FENG-TYAN LIN 《International journal of geographical information science》2013,27(8):765-788
Although many GIS data models are available, a declarative, operational, well-defined, implementation-independent, and object-oriented language is lacking. Based on the theory of many sorted algebra, this work presents a family of geometric data models. Some geographical data models of urban information systems are illustrated using homomorphism. According to the results, the preferred characteristics of mixing declarative and operational statements, multiple representations, tight interdependency among objects, and integration of vector and raster based systems can be achieved through this mechanism. 相似文献
15.
CMIP3气候模式对北疆气候变化模拟评估及未来情景预估 总被引：3，自引：0，他引：3
利用北疆地区1961～2000年气温、降水观测数据和CMIP3(phase 3of the CoupledModel Inter-comparison Project)提供的20个海气耦合模式在该地区的模拟结果,评估了各气候模式对北疆地区降水、气温的模拟效果。结果表明:各气候模式对气温、降水模拟效果差异较大。从对气候平均态的模拟来看,有5个模式对降水的模拟相对较好,2个模式对气温的模拟相对较好;所有模式均能模拟出气温的年内变化特征,其中MPI_ECHAM5模式结果与观测数据结果最为接近;但各模式对降水的模拟效果均较差。在月尺度上,一些模式结果与降水观测数据呈负相关性,但对于月气温,大多数模式与其相关性较好,且各模式间月气温均方根误差变化幅度相对较小。综合来看,大部分气候模式在该地区模拟能力比中国东部地区要弱;气候模式的降水数据包括多模式集合数据还不适合用于未来北疆地区降水变化预估分析。最后,采用累计分布函数法(CDFS)仅对北疆地区2011～2050年时段的气温进行偏差校正与预估分析,结果表明未来40年北疆地区气温在三种排放情景下均呈上升趋势。 相似文献
16.
流域水文模型中的土壤质地转换与饱和导水率Ks值确定 总被引：1，自引：0，他引：1
构建于GIS基础之上的分布式水文模型,近年来得到了普遍的应用和较快的发展。土壤质地数据是模型构建的重要参数,但实际运用中,常存在土壤数据多种统计口径并存、与模型运算所需的数据类型不一致等问题,限制了模型的应用和模拟的精度。根据土壤典型剖面值,利用3次样条函数曲线插值得出了模型所需土壤粒径分布。根据粒径组成,使用NeroTheta软件计算出饱和导水率凡值。为构建分布式水文模型数据库,确定主要土壤参数提供了简便有效的方法。 相似文献
17.
Marcus Goetz 《International journal of geographical information science》2013,27(5):845-865
About one decade has passed since US vice president Al Gore articulated his vision of Digital Earth (DE). Within this decade, a global multi-resolution and three-dimensional (3D) representation of the Earth, which sums up the DE vision, increasingly gained interest in both public and science. Due to the desired high resolution of the available data, highly detailed 3D city models comprise a huge part of DE and they are becoming an essential and useful tool for a range of different applications. In the past as well as at present, 3D models normally come from a range of different sources generated by professionals, such as laser scans or photogrammetry combined with 2D cadaster data. Some models are generated with semi-automated or fully automated approaches, but in most cases manual fine tuning or even manual construction from architectural plans is required. Further beyond outdoor city models, DE additionally envisages the provision of indoor information. That is, the interior structure of public or publically accessible buildings, such as airports or shopping malls, is represented and made available in 3D; however, at the moment, such models are mostly created by hand and essentially based on professional data sources. In contrast to such professional data, which is mainly captured by surveyors or companies, the last few years revealed the phenomenon of crowdsourced geodata, which receives an increasing attractiveness as an alternative data source for many Geographic Information Systems (GIS). Former research already demonstrated the power and richness of such geodata – especially OpenStreetMap (OSM) – and it has also been proved that this non-standardized, crowdsourced geodata can be combined with international standards of the Open Geospatial Consortium (OGC). For example, CityGML Level-of-Detail 1 (LoD1) and LoD2 models have already been created automatically from OSM. The research presented in this article will further continue on the automated generation of CityGML models from OpenStreetMap. Essentially, a method for the creation of highly detailed CityGML LoD4 models with interior structures will be explained. By applying the invented approach on existing OSM data, limitations and restrictions of the IndoorOSM mapping proposal, the available data and the developed approach are revealed and discussed. 相似文献
18.
B. Yoo 《International journal of geographical information science》2013,27(1):24-46
The depiction and navigation of large-scale urban landscapes are limited by the great cost of traditional computer-aided design (CAD) models for large urban environment in terms of both the labor of data entry and the runtime computational expense. This article presents a hybrid modeling approach that enables rapid urban model production from legacy spatial data. Our scheme fills the gap between the low geometry models, such as photo-textured digital terrains, and high geometry models, such as true three-dimensional CAD models. To achieve optimal performance in modeling and rendering, we employ bilayered displacement mapping consisting of global displacement mapping (GDM) for terrains and local displacement mapping (LDM) for buildings. The LDM is performed only within image processing so that the complexity of the models depends only on the area of an urban model. We present a use case of rapid urban model production to compare our approach with the traditional polygonal urban models of a widely used geo-browser. 相似文献
19.
Predictive pH models developed using scaled chrysophytes (Synurophyceae, Chrysophyceae) have thus far been based on the relative abundance of scales and not whole cells. This paper examines the effects of transforming scale to cell numbers on the predictive abilities of pH inference models, and the effects of logarithmic and square-root transformations of the species data on the predictive abilities of pH inference models.Very similar pH inference models were developed based on either the relative abundance of scales or cells. Thus, in this data-set, there appears to be no statistical advantage in transforming raw scale counts to cell counts prior to calculating the relative abundances. However, if one wishes to compare paleochrysophyte populations to actual long-term limnological chrysophyte collections, a scale-to-cell transformation would be desirable. Logarithmic and square-root transformations of the species data improve the pH inference models. These transformations increase the effective number of occurrences of chrysophyte taxa when compared to the untransformed scale and cell pH models. The logarithmic and square-root transformations improve the pH inference models because the dominant taxa, which are often pH generalists, are down-weighted in comparison to the more pH specialist, sub-dominant taxa. We suggest researchers use either a logarithmic or square-root transformation on chrysophyte scale data to improve quantitative reconstructions of lakewater pH and possibly other variables. 相似文献
20.
This paper explores variant space-time models for log-transformed West Nile virus (WNv) mosquito data, which explicitly account for both local environmental conditions and complex dependent structures. Four space-time models take various forms to accommodate correlated structure in space and time, nested data, and nonstationarity. The average WNv mosquito abundance is captured by a global trend across all four models, but different model assumptions are imposed on the stochastic component of the proposed models: a simple multivariate linear regression model with independent and identical errors, a site-specific linear mixed model with temporally correlated errors, a week-specific linear mixed model with spatially correlated errors, and a local space-time kriging model. In a case study, the predictive performance of the four models was assessed using data collected in 2007 and 2008 for the Greater Toronto Area by the mosquito surveillance program of Ontario Ministry of Health and Long-term Care: the local space-time kriging model outperforms others, but closely followed by a site-specific linear mixed model with temporal correlation. Our findings suggest that the predictive accuracy of space-time WNv mosquito abundance models can be enhanced by explicitly taking into account spatiotemporal correlation, nonstationarity, and the data collection procedure, such as surveillance design, based on sound understanding of mosquito behavior and population dynamics. 相似文献