共查询到20条相似文献，搜索用时 31 毫秒
1.
日常活动地建成环境对老年人主观幸福感的影响 总被引：2，自引：1，他引：2
建成环境对老年人主观幸福感的影响是老龄化地理学的热点话题,仅从居住地视角探讨建成环境影响可能导致研究结果偏差。为更精确揭示老年人日常活动所处场所建成环境与主观幸福感的关系,利用问卷调查等数据,基于老年人日常活动的时空模式及活动地建成环境特征,采用逻辑回归模型对比不同日常活动地建成环境要素对广州市老年人主观幸福感的影响。研究发现：老年人的主观幸福感受到不同活动地建成环境的共同影响,其中,居住地与日常活动空间建成环境对老年人主观幸福感影响的模型伪R2最大,而维护性活动地与休闲性活动地能反映出仅考虑居住地视角下忽略的部分建成环境变量。由于老年人在不同活动地的停驻时长、频率和目的不同,日常活动地建成环境对老年人主观幸福感的影响机制也存在差异,主要通过影响不同活动地相应的活动机会和出行环境产生作用。结论从老年人群日常活动的角度补充了时空间行为研究,有助于为老年主动健康服务供给与老龄宜居城市建设提供科学支撑。 相似文献
2.
3.
Patricia Frontiera John Radke 《International journal of geographical information science》2013,27(3):337-360
This research compares the geographic information retrieval (GIR) performance of a set of logistic regression models with those of five non‐probabilistic methods that compute a spatial similarity score for a query–document pair. All methods are applied to a test collection of queries and documents indexed spatially by two convex conservative geometric approximations: the minimum bounding box (MBB) and the convex hull. In the comparison, the tested logistic regression models outperform, in terms of standard information retrieval recall and precision measures, all of the non‐probabilistic methods. The retrieval performance achieved by the logistic regression models on MBB approximations is similar to that achieved by the use of the non‐probabilistic methods on convex hulls. Although these results are valid only for the test collection used in this study, they suggest that a logistic regression approach to GIR provides an alternative to the use of higher‐quality geometric representations that are more difficult to obtain, implement, and process. Additionally, this research demonstrates the ability of a probabilistic approach to effectively incorporate information about geographic context in the spatial ranking process. 相似文献
4.
Karl Rehrl Simon Gröchenig Stefan Kranzinger 《International journal of geographical information science》2020,34(10):1953-1979
ABSTRACT Trajectory data mining is a lively research field in the domain of spatio-temporal data mining. Trajectory pattern mining comprises a set of specific pattern mining methods, which are applied as consecutive steps on a trajectory with the goal to extract and classify re-occurring spatio-temporal patterns. Despite the common nature and frequent usage of such methods by the GIScience community, a methodological approach is missing so far, especially when it comes to the use of machine learning-based classification methods. The current work closes this gap by proposing and evaluating a machine learning-based 3-steps trajectory data mining methodology using the detection and classification of stop points in vehicle trajectories as example. The work describes in detail the applied methodologies with respect to the three mining steps ‘stop detection’, ‘feature extraction’ and ‘classification in traffic-relevant and non-traffic-relevant stops’ and evaluates six machine learning-based classification algorithms using a real-world dataset of 15,498 vehicle trajectories with 5,899 detected stops (thereof 2,032 manually classified). Due to its exemplary nature, the presented methodology is suited to act as blueprint for similar trajectory data mining problems. 相似文献
5.
Andrea Ballatore David C. Wilson Michela Bertolotto 《International journal of geographical information science》2013,27(10):2099-2118
Volunteered geographic information (VGI) is generated by heterogenous ‘information communities’ that co-operate to produce reusable units of geographic knowledge. A consensual lexicon is a key factor to enable this open production model. Lexical definitions help demarcate the boundaries of terms, forming a thin semantic ground on which knowledge can travel. In VGI, lexical definitions often appear to be inconsistent, circular, noisy and highly idiosyncratic. Computing the semantic similarity of these ‘volunteered lexical definitions’ has a wide range of applications in GIScience, including information retrieval, data mining and information integration. This article describes a knowledge-based approach to quantify the semantic similarity of lexical definitions. Grounded in the recursive intuition that similar terms are described using similar terms, the approach relies on paraphrase-detection techniques and the lexical database WordNet. The cognitive plausibility of the approach is evaluated in the context of the OpenStreetMap (OSM) Semantic Network, obtaining high correlation with human judgements. Guidelines are provided for the practical usage of the approach. 相似文献
6.
Ling Cai Ju Liu Tao Pei 《International journal of geographical information science》2018,32(3):524-546
Matrix factorization is one of the most popular methods in recommendation systems. However, it faces two challenges related to the check-in data in point of interest (POI) recommendation: data scarcity and implicit feedback. To solve these problems, we propose a Feature-Space Separated Factorization Model (FSS-FM) in this paper. The model represents the POI feature spaces as separate slices, each of which represents a type of feature. Thus, spatial and temporal information and other contexts can be easily added to compensate for scarce data. Moreover, two commonly used objective functions for the factorization model, the weighted least squares and pairwise ranking functions, are combined to construct a hybrid optimization function. Extensive experiments are conducted on two real-life data sets: Gowalla and Foursquare, and the results are compared with those of baseline methods to evaluate the model. The results suggest that the FSS-FM performs better than state-of-the-art methods in terms of precision and recall on both data sets. The model with separate feature spaces can improve the performance of recommendation. The inclusion of spatial and temporal contexts further leverages the performance, and the spatial context is more influential than the temporal context. In addition, the capacity of hybrid optimization in improving POI recommendation is demonstrated. 相似文献
7.
Patrick Laube Corresponding author Stephan Imfeld Robert Weibel 《International journal of geographical information science》2013,27(6):639-668
Technological advances in position‐aware devices are leading to a wealth of data documenting motion. The integration of spatio‐temporal data‐mining techniques in GIScience is an important research field to overcome the limitations of static Geographic Information Systems with respect to the emerging volumes of data describing dynamics. This paper presents a generic geographic knowledge discovery approach for exploring the motion of moving point objects, the prime modelling construct to represent GPS tracked animals, people, or vehicles. The approach is based on the concept of geospatial lifelines and presents a formalism for describing different types of lifeline patterns that are generalizable for many application domains. Such lifeline patterns allow the identification and quantification of remarkable individual motion behaviour, events of distinct group motion behaviour, so as to relate the motion of individuals to groups. An application prototype featuring novel data‐mining algorithms has been implemented and tested with two case studies: tracked soccer players and data points representing political entities moving in an abstract ideological space. In both case studies, a set of non‐trivial and meaningful motion patterns could be identified, for instance highlighting the characteristic ‘offside trap’ behaviour in the first case and identifying trendsetting districts anticipating a political transformation in the latter case. 相似文献
8.
地理科学是提升人类对地球表层认知、探索人地关系、解决资源、环境、发展所面临的复杂问题的重要支撑。引领科学发展,支撑领域人才队伍的建设与培育,是国家自然科学基金委员会的使命与职责。追踪地理科学领域前沿,优化学科布局并开展战略引导是基金委地理科学学科工作的重要任务。以2021年国家自然科学基金地理科学领域4 479项申请书为样本,运用词云分析方法,对申请书的关键词进行统计分析,剖析了地理科学及各分支学科的研究热点。结果表明：“深度学习”“气候变化”“生态系统服务”“高光谱遥感”“青藏高原”“可持续发展”等是2021年地理科学研究内容与方法的热点关键词。在分支学科间交叉融合方面,信息地理学与人文地理学的共现关键词主要有“空间分析模型”“地理信息系统”“遥感”“机器学习”等;自然地理学与人文地理学的共现关键词主要有“生态系统服务”“土地利用”“土地利用变化”“可持续发展”“情景分析”等;自然地理学与信息地理学的共现关键词主要有“遥感监测”“尺度效应”“机器学习”“数字土壤制图”等。未来,国家自然科学基金委员会将从关键词设置、学科间交叉融合等途径入手,进一步从战略层面优化地理科学研究布局,引导科学家聚焦地理学基础理论与热点前沿问题,服务碳中和、乡村振兴等国家重大战略需求。 相似文献
9.
Boris Petelin Igor Kononenko Vlado Malačič Matjaž Kukar 《International journal of geographical information science》2019,33(10):1936-1959
We present an adaptation and application of frequent subgraph mining (FSM) in a time series of spatial multi-level directed graphs depicting probabilistic transitions of water masses between neighboring sea areas within a given time interval. The directed graphs are created from the results of the numerical model, the Mediterranean Ocean Forecasting System. We assign unique labels (geographical locations) to vertices of the multi-level directed graphs. Then, we add the edge labels as discretized values of the probabilities of transitions between vertices. This modification allows the use of the established algorithm gSpan to search for frequently directed subgraphs in the sequence of such directed graphs. Thus, we obtain both general and specific subgraphs, such as convergences, divergences, and paths of the ocean currents in the numerical model. The resulting substructures, revealed by directed subgraphs, match oceanographic structures (gyres, convergences/divergences, and paths) deduced from field observations, and can also serve as a tool for the validation of the numerical model of circulation in the sea. 相似文献
10.
Min Cao Quanfei Shen Yanxia Wang 《International journal of geographical information science》2013,27(5):806-824
This paper presents an intelligent approach to discover transition rules for cellular automata (CA) by using cuckoo search (CS) algorithm. CS algorithm is a novel evolutionary search algorithm for solving optimization problems by simulating breeding behavior of parasitic cuckoos. Each cuckoo searches the best upper and lower thresholds for each attribute as a zone. When the zones of all attributes are connected by the operator ‘And’ and linked with a cell status value, one CS-based transition rule is formed by using the explicit expression of ‘if-then’. With two distinct advantages of efficient random walk of Lévy flights and balanced mixing, CS algorithm performs well in both local search and guaranteed global convergence. Furthermore, the CA model with transition rules derived by CS algorithm (CS-CA) has been applied to simulate the urban expansion of Nanjing City, China. The simulation produces encouraging results, in terms of numeric accuracy and spatial distribution, in agreement with the actual patterns. Preliminary results suggest that this CS approach is well suitable for discovering reliable transition rules. The model validation and comparison show that the CS-CA model gets a higher accuracy than NULL, BCO-CA, PSO-CA, and ACO-CA models. Simulation results demonstrate the feasibility and practicability of applying CS algorithm to discover transition rules of CA for simulating geographical systems. 相似文献
11.
Jorge Baptista e Silva Raquel Faria de Deus José António Tenedório 《International journal of geographical information science》2013,27(9):1689-1705
Urban development charges (UDC) are considered relevant taxation instruments that can improve the economic sustainability of urban areas and the financial health of the respective local governments. The economic formulation and justification based on the ‘direct benefit principle,’ the ‘accountability principle,’ and the ‘proportionality principle’ requires a methodology that can be supported by a geographic information system (GIS) application. This article presents the research output of a real case study – the municipality of Aljezur, Portugal – and the fundamentals of the GIS tool that was designed. This GIS-based methodology comprises a multi-annual infrastructure capital plan and an accurate zoning map for spatial differentiation of values combining municipal-wide and site-specific approaches, following ‘pay as the urban areas grow’ perspective applied to urban development and new buildings. It requires data integration of the urban planning process with infrastructure and urban growth data in order to manage and monitor the computation of this charge over time, thereby increasing the accuracy, the objectivity and the clarity of the process. The results obtained show that this UDC-GIS application seems well adapted to small municipalities. Its possible replication and use in other contexts require adaptations derived from different urban and taxation policy options and from different legal, organizational, technological, and informational local systems. 相似文献
12.
Gobe Hobona Philip James David Fairbairn 《International journal of geographical information science》2013,27(5):469-490
The ever‐increasing number of spatial data sets accessible through spatial data clearinghouses continues to make geographic information retrieval and spatial data discovery major challenges. Such challenges have been addressed in the discipline of Information Retrieval through ranking of data according to inferred degrees of relevance. Spatial data, however, present an additional challenge as they are characteristically made up of geometry, attribute and, optionally, temporal components. As these components are mutually independent of one another, this paper suggests that they be ranked independently of one another. The representation of the results of the independent ranking of these three components of spatial data suggests that representation of the results of the ranking process requires an alternative approach to currently used textual ranked lists: visualisation of relevance in a three‐dimensional visualisation environment. To illustrate the possible application of such an approach, a prototype browser is presented. 相似文献
13.
14.
Isabel Pôças João Gonçalves Bruno Marcos Joaquim Alonso Pedro Castro João P. Honrado 《International journal of geographical information science》2014,28(11):2356-2371
This article proposes and illustrates a practical methodological framework to evaluate the fitness for use of spatial data sets for environmental and ecological applications, focusing on user requirements for specified application contexts. The methodology is based on the use of metadata to analyze similarity between the data characteristics and the user’s needs or expectations for several quality indicators. Additionally, the concept of ‘critical factors’ is introduced in this framework, allowing users to define which quality indicators have greater importance given their own requirements or expectations and the specified application contexts. The proposed methodology further allows integrating and interconnecting the spatial data quality (SDQ) evaluation methodology with metadata geoportals in WebGIS platforms, facilitating its operation by users from non-spatial disciplines and with often limited expertise on this subject. Examples of the evaluation of fitness for use for specific application contexts within the project BIO_SOS (‘Biodiversity Multi-SOurce Monitoring System: From Space To Species’ FP7 project) are presented. By providing a prompt and straightforward evaluation tool, the proposed methodology can encourage the implementation of SDQ evaluation routines in ecological assessment and monitoring programs, promoting a more adequate use of geospatial data and ultimately contributing to well-supported policy and management decisions. 相似文献
15.
选取1992—2017年版中文核心期刊（简称核心期刊）,运用Moore结构值测算其内部结构变化,利用重心模型计算重心位置,通过GIS可视化分析其时空分异特征,采用普通最小二乘法评估影响模型的合理性,通过地理探测器模型定量分析其时空分异的影响因素。结果表明：1992—2017年版核心期刊数量经历“下降?上升?逐步稳定”的发展过程,以“胡焕庸线”为界东西分异明显,呈现“整体分散,局部集聚”的空间特征;内部结构变化普遍存在且程度不一,西部地区变化明显高于东中部;核心期刊重心呈东部集聚态势,阶段性特征显著;核心期刊空间分异是多因素综合作用的结果,影响因素会因时而变、因区而变,科技因素是核心期刊空间分异的主要影响因素,经济和教育影响力次之,社会和政策是影响其分布的一般因素。 相似文献
16.
地理计算是地理信息科学的核心内容之一， 主要研究地理信息科学的方法学问题， 内容 包括建模、算法、计算体系和一般方法学问题。本文介绍了地理计算的五个前沿问题: (1)地学数据 挖掘从地理学问题出发， 对各种数据作地理学的模型处理和结果计算以发现地理知识； (2)空间运 筹在地理学中的应用日益广泛， 它的算法更加简单严密、精度也更高； (3)多自主体系统模拟已经 成为地理学科学研究中除归纳和演绎之外的第三种重要研究方法； (4) 离散空间的定性计算是进 行地理空间计算的必要基础； (5)本体论的发展是地理信息科学乃至整个地理学发展的需要。 相似文献
17.
Xiaojing Wu Raul Zurita-Milla Menno-Jan Kraak 《International journal of geographical information science》2013,27(4):624-642
Clustering allows considering groups of similar data elements at a higher level of abstraction. This facilitates the extraction of patterns and useful information from large amounts of spatio-temporal data. Till now, most studies have focused on the extraction of patterns from a spatial or a temporal aspect. Here we use the Bregman block average co-clustering algorithm with I-divergence (BBAC_I) to enable the simultaneous analysis of spatial and temporal patterns in geo-referenced time series (time evolving values of a property observed at fixed geographical locations). In addition, we present three geovisualization techniques to fully explore the co-clustering results: heatmaps offer a straightforward overview of the results; small multiples display the spatial and temporal patterns in geographic maps; ringmaps illustrate the temporal patterns associated to cyclic timestamps. To illustrate this study, we used Dutch daily average temperature data collected at 28 weather stations from 1992 to 2011. The co-clustering algorithm was applied hierarchically to understand the spatio-temporal patterns found in the data at the yearly, monthly and daily resolutions. Results pointed out that there is a transition in temperature patterns from northeast to southwest and from ‘cold’ to ‘hot’ years/months/days with only 3 years belonging to ‘cool’ or ‘cold’ years. Because of its characteristics, this newly introduced algorithm can concurrently analyse spatial and temporal patterns by identifying location-timestamp co-clusters that contain values that are similar along both the spatial and the temporal dimensions. 相似文献
18.
Toivo Vajakas Jaan Vajakas Rauni Lillemets 《International journal of geographical information science》2015,29(11):1941-1954
This paper proposes a technique for improving the accuracy of mobile device movement trajectory reconstruction using passive mobile positioning data. The major sources of uncertainty in trajectory reconstruction are imprecise cell shape data and ‘ping-pong’ effects caused by cell handovers. We used a novel technique for improved ‘ping-pong’ effect suppression by compensating for some cell shape distortions based on temporal cell-to-cell transit statistics. The results were evaluated by estimating traffic flow using trajectory reconstruction. The proposed technique improved the accuracy of results compared to ‘ping-pong’ suppression algorithms found in the literature. 相似文献
19.
Gennady Andrienko Natalia Andrienko Marco Heurich 《International journal of geographical information science》2013,27(9):1347-1370
Current tracking technologies enable collection of data, describing movements of various kinds of objects, including people, animals, icebergs, vehicles, containers with goods and so on. Analysis of movement data is now a hot research topic. However, most of the suggested analysis methods deal with movement data alone. Little has been done to support the analysis of movement in its spatio-temporal context, which includes various spatial and temporal objects as well as diverse properties associated with spatial locations and time moments. Comprehensive analysis of movement requires detection and analysis of relations that occur between moving objects and elements of the context in the process of the movement. We suggest a conceptual model in which movement is considered as a combination of spatial events of diverse types and extents in space and time. Spatial and temporal relations occur between movement events and elements of the spatial and temporal contexts. The model gives a ground to a generic approach based on extraction of interesting events from trajectories and treating the events as independent objects. By means of a prototype implementation, we tested the approach on complex real data about movement of wild animals. The testing showed the validity of the approach. 相似文献
20.
Stuart A. Foster 《The Professional geographer》1991,43(2):131-142
Geographic phenomena and our models of them are closely linked to the spatial-temporal contexts in which they are observed. The expansion method is a procedure that incorporates contextual effects into mathematical models. More importantly, it is the basis for a movement by some geographers away from the classical spatial science paradigm. The evolving paradigm associated with the expansion method represents a reformulation of the way in which geographers think about and use models, and is consistent with a more realistic perspective on the nature of geographic inquiry. 相似文献