16 resultados para SLEUTH


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基于多时相TM遥感影像,利用SLEUTH模型对沈阳市1988~2004年间的城市扩展过程进行了模拟。采用ROC曲线、多分辨率误差估算和景观指数3种方法对SLEUTH模型在总体预测能力、城市扩展数量、空间位置和空间格局上的模拟准确性给予全面定量评估。结果表明,SLEUTH模型具有可信精度,对城市扩展总体趋势拟合较好,但是对城市扩展空间位置的预测和城市空间格局的表达还有待于提高。

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利用SLEUTH模型,在3种规划预案下研究沈阳-抚顺都市区城市规划。结果表明,低生态保护的城市增长预案导致了城市快速扩张和农田、林地等其他景观类型面积迅速减少.严格的生态保护规划预案虽然能很好地保持聚集的城市增长格局,减少对其他景观的侵占,但限制了城市增长速度,与区域经济发展现状相矛盾.如果扩散的城市增长格局能得到进一步的控制,适当生态保护的城市增长预案将是沈阳-抚顺都市区未来发展的推荐预案.

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This research sought to understand the role that differentially assessed lands (lands in the United States given tax breaks in return for their guarantee to remain in agriculture) play in influencing urban growth. Our method was to calibrate the SLEUTH urban growth model under two different conditions. The first used an excluded layer that ignored such lands, effectively rendering them available for development. The second treated those lands as totally excluded from development. Our hypothesis was that excluding those lands would yield better metrics of fit with past data. Our results validate our hypothesis since two different metrics that evaluate goodness of fit both yielded higher values when differentially assessed lands are treated as excluded. This suggests that, at least in our study area, differential assessment, which protects farm and ranch lands for tenuous periods of time, has indeed allowed farmland to resist urban development. Including differentially assessed lands also yielded very different calibrated coefficients of growth as the model tried to account for the same growth patterns over two very different excluded areas. Excluded layer design can greatly affect model behavior. Since differentially assessed lands are quite common through the United States and are often ignored in urban growth modeling, the findings of this research can assist other urban growth modelers in designing excluded layers that result in more accurate model calibration and thus forecasting.

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This paper presents an algorithm for mining unordered embedded subtrees using the balanced-optimal-search canonical form (BOCF). A tree structure guided scheme based enumeration approach is defined using BOCF for systematically enumerating the valid subtrees only. Based on this canonical form and enumeration technique, the balanced optimal search embedded subtree mining algorithm (BEST) is introduced for mining embedded subtrees from a database of labelled rooted unordered trees. The extensive experiments on both synthetic and real datasets demonstrate the efficiency of BEST over the two state-of-the-art algorithms for mining embedded unordered subtrees, SLEUTH and U3.

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城市扩展及其导致的土地利用/土地覆被变化作为全球环境变化的重要驱动因素,日益引起社会各界的普遍关注。新中国成立以来,沈阳市经历了快速的城市化过程,特别是进入21世纪以来,伴随着人口增长和经济发展,中心城区持续向外扩张,导致基本农田大量流失,区域景观和生态环境质量日益下降,给沈阳市的城市增长管理和可持续发展带来严峻挑战。 利用遥感(RS)、地理信息系统(GIS)和空间Logistic回归模型对1988-2004年间沈阳市的城市扩展与土地利用变化特征及其驱动力进行深入分析,并在此基础上利用基于细胞自动机(CA)的城市扩展模型-SLEUTH对历史时期(1988-2004年)的城市扩展格局进行模拟与重建,对未来(2005-2030年)不同发展条件下的城市扩展进行模拟与环境影响评估,以期为城市增长管理与区域可持续发展提供决策支持。本论文取得如下研究成果: (1) 1988-2004年间,沈阳市辖区城市面积持续增加,城市扩展强度逐渐增强;2000-2004年城市扩展规模和强度都达到最大;沈阳市城市化进程正在显著加速。城市扩展具有明显的空间分异特征:整个研究时段内,市区西南方向是城市扩展的主方向,中心城区周边(8~10km)及各级经济开发区是扩展的热点区域。 (2) 1988-2004年间,沈阳市辖区土地利用变化最主要的特征是耕地向城乡建设用地的大面积转换。持续的城市扩展导致区域景观日益破碎化和复杂化。城市和其它建设用地的景观影响日益增强,耕地的优势地位减弱,且破碎化程度增加,斑块形状日趋复杂。城市化空间梯度上的土地利用格局变化分析表明,随着城市化水平的提高,景观组成和空间配置发生了明显变化。处在城市化前沿区域的城郊地区,景观格局表现出景观多样性增加、破碎化程度加深和形状日趋复杂等特点。 (3) 1988-2004年间,沈阳市辖区城市扩展主要受到社会经济发展的推动作用和政策因素的激励与导向作用。空间Logistic回归分析显示,开发区建设与行政建制变化、道路与城镇分布、浑河和城市规划是城市空间扩展的主要影响因素。 (4) ROC曲线统计、Kappa统计与多分辨率误差估算以及景观指数从城市扩展总体预测能力、增长数量、空间位置和空间格局上给予SLEUTH模型一个全面、客观的评估。总体上来说,SLEUTH模型具有可信精度,较好地表达了沈阳市1988-2004年间城市扩展的总体趋势,对城市扩展面积的拟合精度很高。但是,与其它城市扩展模型相似,在像元尺度上对城市扩展空间位置的预测和对城市空间格局的表达还有待于提高;随着分辨率的降低,模型对城市发展中空间邻域关系的表达效果趋于提高。SLEUTH模型对城市扩展的总体模拟精度要高于空间Logistic回归模型,但是对城市扩展位置的模拟准确性低于后者。 (5) 通过分析发现,影响SLEUTH模拟准确性的主要因素包括模型结构、地方城市发展特征、模型应用的时空尺度和模型输入数据的获取与误差传递等。通过修改模型组分设置、开展模型敏感性与不确定性分析以及实行城市扩展一体化模拟可以提高SLEUTH模型的模拟效力,而具体实现方法需要深入研究。基于模型评估结果和效力提高的对策,对城市扩展演变的时空格局进行了较为准确的重建,为其相关研究提供了可靠的历史数据资料。 (6) 遵循沈阳市目前和未来的区域开发政策、最新修编的城市总体规划,以及社会对区域生态环境保护的要求,设计了五个城市发展预案,即目前趋势发展预案(CT)、区域开发政策与城市规划预案(PP)、生态可持续发展预案(ES)、紧凑式发展格局预案(CD)和特定增量发展预案(GA)。对不同预案条件下未来(2004-2030年)城市扩展面积和空间格局、城市扩展热点区域、城市景观格局变化及其景观生态效应,以及对其它类型土地资源的消耗四个方面进行了分析和比较,为沈阳市城市规划、生态建设以及可持续增长管理提供了许多有价值的决策信息。

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辽宁中部城市群是我国城镇最密集的地区之一,经过几十年快速的城市发展和工业建设,造成了严重环境污染和生态破坏,区域的景观发生了巨大的变化。本文研究辽宁中部城市群城市空间增长和景观动态,为辽宁中部城市群的科学规划和管理提供决策支持,对辽宁省生态环境与社会经济的可持续发展具有重要的意义。 本文利用3S技术、转移矩阵和景观格局指数方法对辽宁中部城市群1988-- 2004 年的城市增长和景观变化进行了综合分析,采用历史数据对城市增长和景观变化模型SLEUTH进行校正,并对历史时期的城市增长和景观变化进行模拟重建;利用ROC曲线统计、Kappa指数系列和景观格局指数对SLEUTH的模拟结果进行精度评价;在五种不同的预案下对辽宁中部城市群未来(2005-2045年)城市增长和景观动态进行模拟预测。本文得到如下结论: 1. 1988-2004年间,辽宁中部城市群的城市面积持续增长,扩展强度不断增强,1997-2000年的城市扩展强度最大,增长速度最快。城市空间格局的变化表现出阶段性的特征,1988-1997年城市面积的增长速度较慢,结构紧凑,以边缘增长和填充增长为主;1997-2004年城市面积增长较快,城市向外蔓延,城市斑块形状变得复杂,以开发区的飞地式增长和扩散增长为主。 2. 1997-2004年间,辽宁中部城市群的景观变化明显,农村居民点的面积增长最大,其次为城市;林草地的面积减少最大,其次为耕地。各景观类型中城市的增长速度最快,林草地减少的速度最快。辽宁中部城市群的城市增长和景观变化主要集中在中部的城镇密集带。城镇密集带将是未来城市群规划和管理的关键区域。辽宁中部城市群景观格局受人类活动影响增强,景观破碎化程度加大。景观中林草地和耕地的优势地位有所减弱,破碎化程度增加,斑块形状日益复杂;在城镇密集带内,耕地面积流失较大,耕地占景观面积比例减少较快,破碎化程度较大。随着城市化进程的加快和人类活动的增强,辽宁中部城市群表现出复杂的格局变化特征。 3. 1988-2004年,辽宁中部城市群城市增长的主要驱动力是社会经济发展和政策因素,其中人口和经济的高速增长、国家及区域政策导致的城市开发、生 态环境保护政策、城市规划和基础设施建设等因素是城市群城市空间快速增长的主要因素。辽宁中部城市群的景观变化受到自然和人类两大类驱动因素的共同作用。气候、水文、矿产资源等自然驱动力对城市群景观变化的影响也较大。人口增长、城市和村镇聚落增长、农业开发、经济发展、政治政策和工业化等主要的人类驱动力对辽宁中部城市群景观变化影响较大。 4. 利用ROC 曲线统计、Kappa 指数系列和景观格局指数从城市增长总体预测能力、增长数量和空间格局上对SLEUTH 模型的城市增长模拟结果进行精度评估;利用Kappa 指数系列和景观格局指数对SLEUTH的景观变化预测结果进行评价。总体上讲,SLEUTH模型对辽宁中部城市群城市增长和景观动态模拟预测具有良好的可信精度,较好地模拟了1988-2004年的城市增长和1997-2004年城市群的景观动态。 5. SLEUTH 模型效力的主要影响因素包括模型结构、城市发展特征、模型应用的时空尺度和模型输入数据的获取与误差传递等。通过修改模型参数设置、开展模型敏感性与不确定性分析等可以提高SLEUTH 模型的模拟效力,并提出城市分类标准对SLEUTH准确性的影响,通过对部分研究区的检验研究,证明城市分类标准对SLEUTH模型的校正和模拟预测结果影响较大。 6. 基于SLEUTH模型,从城市群城市空间增长、景观要素和社会经济政策等方面设计了五种城市群发展和景观变化预案,即历史趋势预案(Historical Trend, HT),区域开发政策和城市规划预案(Regional development policy and Urban planning policy, RU),生态可持续发展预案(Ecological Sustainable development,ES),两个密集增长预案(Compact Growth,CG1和CG2)等。通过预案分析,考察不同的条件下未来城市群城市空间增长和景观动态特征,研究认为密集的城市增长预案是未来辽宁中部城市群发展的较好预案,为辽宁中部城市群的规划、管理和可持续发展提供决策支持。

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基于遥感和GIS,采用SLEUTH模型对沈阳市辖区1988-2004年间的城市扩展过程进行动态模拟,对未来(2005-2030年)两种预案条件下的城市发展格局进行预测,即目前趋势预案和区域开发政策与城市规划预案。结果表明:到2030年,两种预案条件下,城市面积分别增加306.0km2和172.7km2,占土地总面积的百分比达到22.1%和18.3%。目前趋势预案条件下的未来城市发展格局比较分散;而区域开发政策与规划预案条件下,城市扩展格局将更加紧凑,充分体现了区域开发与保护政策、城市规划对城市扩展的约束和引导作用。

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利用基于遥感手段获取的沈阳市城市扩展与土地利用变化历史数据,对SLEUTH城市扩展模型进行校正,对未来(2005~2030年)不同管理情景下的城市扩展与土地利用变化过程进行模拟,并对其发展变化趋势和生态环境影响进行分析与比较。结果显示,在三种管理情景下,未来的沈阳市城市建设用地都将持续增加,大量的耕地资源被侵占;但不同管理情景下,城市景观格局和区域面临的景观生态风险却表现出明显差异。SLEUTH模型的模拟结果较好地反映了沈阳市不同土地利用政策、规划方案等对未来城市扩展和土地利用变化以及区域景观生态风险的潜在影响,同时也指出了当前城市增长管理政策中存在的不足之处。

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利用基于遥感手段获取的沈阳市城市发展历史数据对SLEUTH模型进行校正,对未来(2005~2030年)的城市扩展过程进行不同生态环境保护政策下的情景模拟,并对其扩展格局和生态环境影响进行分析与比较。结果显示,未来沈阳市城市化进程将进入一个加速发展阶段;2016年以后各政策预案条件下的城市扩展格局和可持续性呈现出明显的差异;目前趋势发展预案(Ⅰ)下,城市扩展导致大量的土地资源被侵占,城市景观格局日益复杂化;环境保护发展预案(Ⅱ)和生态可持续发展预案(Ⅲ)下城市扩展空间受到较大约束,部分自然资源得以保护,城市扩展格局在模拟期内相对比较紧凑;研究表明必须采取严格的城市规划与增长管理措施,引导和控制沈阳市未来城市扩展,保护基本农田和城市生态支撑系统;SLEUTH模型为城市土地资源可持续利用提供了一种有用的规划工具。

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基于辽宁省营口市1988、1992、1997、2000和2004年5期LandsatTM卫星遥感影像数据,利用城市增长和土地利用变化模拟模型SLEUTH模拟预测了6种预案(当前趋势预案、无保护预案、适当保护预案、管理增长预案、生态可持续预案和区域及城市规划预案)下2005—2030年营口市城市及农村聚落的增长和土地利用变化情况.结果表明:1988—2004年,营口市城市及村镇聚落的增长面积为14.93km2;1997—2004年,研究区水域、园地、矿山、耕地等土地类型面积的变化较大.2005—2030年,生态可持续预案下,营口市城市及村镇聚落的面积将缓慢增长,较好地保护耕地、林地等资源,但在一定程度上将限制城市及村镇聚落的增长;无保护预案下研究区城市及农村聚落的增长速度最快,耕地流失面积较大;当前趋势预案下,耕地流失面积与无保护预案相近,但耕地流失的格局不同;适当保护预案和管理增长预案下,耕地的流失面积较小;区域与城市规划预案下,城市及村镇聚落增长主要分布在城市开发区和城市周边地区.利用不同预案下的SLEUTH模型可以模拟不同土地管理政策对城市及村镇聚落增长和土地利用变化的影响,对我国实施统筹城乡发展、建设社会主义新农村具有指导意义.

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VANTI, Nadia. Mapeamento das Instituições Federais de Ensino Superior da Região Nordeste do Brasil na Web. Informação & informação, Londrina, v. 15, p. 55-67, 2010

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This study aims to identify, through the application of webometric indicators, which Post-Graduate Courses in Engineering recommended by the Coordination of Improvement of Higher Personnel Education (CAPES) in Brazil stand out in the web space, in relation to the communication process and dissemination of scientific information in the academic environment. For this, we analyzed the structures content of the sites, the use, through the conduct of investigations and searches, the quality of information available, as well as the structure of existent hypertexts in the sites of this universe of search. The tools and methodologies adopted for this study are: search engines (Google, Yahoo), Mapper software (Xenu Link Sleuth) and analysis software and visualization of networks (and Ucinet6 NetDraw). Webometric indicators are also used, such as size of the web sites, visibility, web impact factor, brightness and density of the network. These instruments provide a brief analysis and evaluation for this webometric study. Therefore, from the incursion of the literature used, it appears that there are many advantages of using this type of metric study in the so called Information Society. The obtained results could identify which postgraduate courses in engineering has a better availability of their information on the Web, as well to define which of these courses stands out in relation to the use of their information, which has been outstanding in respect to its impact factor and which offers a greater number of links that serve as a source of information for its users, contributing, in its turn, with the navigability of the same network. In summary, it is asserted that the webometric study presents promising results, which are able to achieve the proposed objectives, as well as identify the factors that contribute significantly to the good visualization of these sites in the network, thus helping the spread of information and scientific communication through the use of the Web.

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The Pitimbu River Watershed (PRW), belonging to Potiguar capital metropolitan area, State of Rio Grande do Norte, contributes, among other purposes, to human using and animal watering. This watershed is extremely important because, besides filling up with freshwater approximately 30% of the south part of Natal (South, East and West Zones), contributes to the river shore ecosystem equilibrium. Face to the current conjuncture, this study aims to evaluate the urban development dynamics in the PRW, applying Cellular Automata as a modeling instrument, and to simulate future urban scenarios, between 2014 and 2033, using the simulation program SLEUTH. In the calibration phase, urban spots for 1 984, 1992, 2004 and 2013 years were used, with resolution from 100 meters. After the simulation, it was found a predominance of organic growth, expanding the BHRP from existing urban centers. The spontaneous growth occurred through the fullest extent of the watershed, however the probability of effective growth should not exceed 21%. It was observed that, there was a 68% increase for the period between 2014 and 2033, corresponding to an expansion area of 1,778 ha. For 2033, the source of Pitimbu River area and the Jiqui Lake surroundings will increase more than 78%. Finally, it was seen an exogenous urban growth tendency in the watershed (outside-in). As a result of this growth, hydraulics resources will become scarcer

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Urban growth models have been used for decades to forecast urban development in metropolitan areas. Since the 1990s cellular automata, with simple computational rules and an explicitly spatial architecture, have been heavily utilized in this endeavor. One such cellular-automata-based model, SLEUTH, has been successfully applied around the world to better understand and forecast not only urban growth but also other forms of land-use and land-cover change, but like other models must be fed important information about which particular lands in the modeled area are available for development. Some of these lands are in categories for the purpose of excluding urban growth that are difficult to quantify since their function is dictated by policy. One such category includes voluntary differential assessment programs, whereby farmers agree not to develop their lands in exchange for significant tax breaks. Since they are voluntary, today’s excluded lands may be available for development at some point in the future. Mapping the shifting mosaic of parcels that are enrolled in such programs allows this information to be used in modeling and forecasting. In this study, we added information about California’s Williamson Act into SLEUTH’s excluded layer for Tulare County. Assumptions about the voluntary differential assessments were used to create a sophisticated excluded layer that was fed into SLEUTH’s urban growth forecasting routine. The results demonstrate not only a successful execution of this method but also yielded high goodness-of-fit metrics for both the calibration of enrollment termination as well as the urban growth modeling itself.

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VANTI, Nadia. Mapeamento das Instituições Federais de Ensino Superior da Região Nordeste do Brasil na Web. Informação & informação, Londrina, v. 15, p. 55-67, 2010