標題: Titlebook: Geomatic Approaches for Modeling Land Change Scenarios; María Teresa Camacho Olmedo,Martin Paegelow,Franci Book 2018 Springer Internationa [打印本頁] 作者: subcutaneous 時間: 2025-3-21 17:41
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書目名稱Geomatic Approaches for Modeling Land Change Scenarios影響因子(影響力)學科排名
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書目名稱Geomatic Approaches for Modeling Land Change Scenarios網(wǎng)絡(luò)公開度學科排名
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書目名稱Geomatic Approaches for Modeling Land Change Scenarios讀者反饋
書目名稱Geomatic Approaches for Modeling Land Change Scenarios讀者反饋學科排名
作者: Ingredient 時間: 2025-3-21 20:43 作者: TIA742 時間: 2025-3-22 01:32 作者: Enzyme 時間: 2025-3-22 06:46 作者: 沒收 時間: 2025-3-22 08:57 作者: cathartic 時間: 2025-3-22 14:40 作者: cathartic 時間: 2025-3-22 19:27 作者: ovation 時間: 2025-3-23 00:33 作者: 欺騙世家 時間: 2025-3-23 01:47 作者: 不連貫 時間: 2025-3-23 05:57 作者: 等待 時間: 2025-3-23 13:41 作者: 鑲嵌細工 時間: 2025-3-23 14:03
Constraint Cellular Automata for Urban Development Simulation: An Application to the Strasbourg-KehlQuantification is based on Markov chains and location on transition rules. The proposed approach is implemented on the Strasbourg-Kehl cross-border area and calibrated with three contrasting prospective scenarios to try to predict cross-border territorial development.作者: 彎曲道理 時間: 2025-3-23 20:14 作者: Duodenitis 時間: 2025-3-23 22:48
The Influence of Scale in LULC Modeling. A Comparison Between Two Different LULC Maps (SIOSE and CORe compared the input and simulated maps using spatial metrics and the matrix proposed by Pontius and Millones to find out the quantity and allocation disagreement. The results can provide a better understanding of the implications of the choice of input maps in LULC modeling.作者: ligature 時間: 2025-3-24 05:38
https://doi.org/10.1007/978-3-319-60801-3Land Use and Cover Change; Geomatic Simulations; Geomatic Solutions; Geomatic Scenarios; Geomatic Valida作者: 繁忙 時間: 2025-3-24 07:04
978-3-319-86936-0Springer International Publishing AG 2018作者: arthroplasty 時間: 2025-3-24 10:56 作者: 人工制品 時間: 2025-3-24 16:53 作者: 上釉彩 時間: 2025-3-24 20:30
Durchschalte- und Speichervermittlung,hose observed for the study area over a period in the past or consistent with a given scenario. Depending on the modeling approach, the parameters are set using maps which describe past change or information obtained from experts or stakeholders. These parameters will control the behavior of the mod作者: 漫步 時間: 2025-3-25 02:50
https://doi.org/10.1007/978-3-662-66285-4 also used to reproduce spatiotemporal patterns of modeled change. There are also several advanced options that try to improve the simulation outputs. This chapter focuses on these simulation steps and on the different types of simulated maps (soft and hard outputs). A theoretical presentation of co作者: nautical 時間: 2025-3-25 04:23
https://doi.org/10.1007/978-3-322-93362-1 process in that the credibility of a model depends on the accuracy of its output. A large range of validation approaches and tools exist, many of which can also be used during the calibration stage. In this chapter we distinguish between purely quantitative validation techniques and those that also作者: 整頓 時間: 2025-3-25 11:07
https://doi.org/10.1007/978-3-658-21435-7ring the future of their societies. Examples abound, from Plato’s description of his ideal Republic to Orwell’s vision of 1984 in 1948. As a strategic planning tool, scenario techniques originated as a means of enhancing military strategies, first appearing in the form of war games. Today’s scenario作者: 檔案 時間: 2025-3-25 14:29 作者: transdermal 時間: 2025-3-25 17:33 作者: 紋章 時間: 2025-3-25 21:08
https://doi.org/10.1007/978-3-531-92365-9uture. The model has seen over 100 applications worldwide, and has been among the leading cellular automaton (CA) models applied in simulating land use change at many different spatial scales. The model is highly dependent on the use of historical data to derive the behavioral parameters that best c作者: cleaver 時間: 2025-3-26 03:38
https://doi.org/10.1007/978-3-658-35059-8e looked at comparing various scale aspects, such as spatial resolution and the related neighborhood effect, for practical case study applications. In this chapter, we contribute to this under-explored area with a detailed study of how changes in the data preparation procedures and the scale decisio作者: 不能平靜 時間: 2025-3-26 06:58
https://doi.org/10.1007/978-3-662-67977-7ts on data and models is still sketchy. We therefore decided to investigate how cartographic scale and minimum mapping unit (MMU) influence modeling results, for which purpose we chose a heterogeneous, dynamic study area in central Asturias (Spain). As opposed to most of the literature on this subje作者: consent 時間: 2025-3-26 09:38 作者: licence 時間: 2025-3-26 16:18
E-Coaching – State of the art 2016s, and for the assessment and prediction of environmental change. The population of the Gaza Strip will have grown to more than 2.4 million by 2023 all of whom are forced to live within an area of some 365?km.. This growth in population will lead to an increase in land demand, and will far exceed th作者: fertilizer 時間: 2025-3-26 20:17 作者: 代理人 時間: 2025-3-26 22:39 作者: 膝蓋 時間: 2025-3-27 03:36
https://doi.org/10.1007/978-3-642-93583-1making domains, their application to site redevelopment is still limited. This chapter presents a case study in which land use change simulation and impact assessment models are employed to facilitate public dialogue for reuse of a decommissioned air force base site (known as the Orange County Great作者: Custodian 時間: 2025-3-27 07:24 作者: 障礙物 時間: 2025-3-27 10:05 作者: genuine 時間: 2025-3-27 14:55 作者: conifer 時間: 2025-3-27 18:07 作者: Melatonin 時間: 2025-3-28 01:57
https://doi.org/10.1007/978-3-322-93362-1e hard-classified simulation maps, while ROC is used to test soft-classified maps. We then look at a second validation approach based on LUCC dynamics such as LUCC components, intensity analysis, data uncertainty and the impact of spatial and temporal scales. Finally, we compare a group of the most 作者: 燈絲 時間: 2025-3-28 03:02
https://doi.org/10.1007/978-3-658-21435-7 scenarios of various kinds, including those on land-use cover change (LUCC) studied in this book. Such is the current popularity of scenario techniques in terms of the number of applications and users that the relevant literature reveals a wide array of different and often contradictory definitions作者: propose 時間: 2025-3-28 07:20 作者: 消滅 時間: 2025-3-28 12:23
https://doi.org/10.1007/978-3-531-92365-9 version of the model code that executes the GA calibration has been written and made public. The GA calibration process populates a “chromosome” with a set of parameter combinations (genes), of which five are required by the model, each with ranges from 0 to 100. These combinations are then used fo作者: Judicious 時間: 2025-3-28 16:48
https://doi.org/10.1007/978-3-658-35059-8best results across all of the statistics. Furthermore, direct conversion from the original vector map to raster format at the desired cell size was found to give better results than resampling to the desired cell size from a different cell size. We also tested the effect of changing spatial resolut作者: Enervate 時間: 2025-3-28 18:52 作者: Arb853 時間: 2025-3-29 02:39 作者: insipid 時間: 2025-3-29 03:07
Empirische Analyse digitaler Ungleichheiten, are applied in order to study trends in land use change. Three scenarios are designed: a baseline or trend scenario, an economic crisis scenario and a green scenario. The CLUE model (based on logistic regression) is used. LCM (based on neural networks) is also used but only in the trend scenario. B作者: Carcinogenesis 時間: 2025-3-29 10:30
Geomatic Approaches for Modeling Land Change Scenarios. An Introduction,d seems to be overtaking it as the generally used term for this phenomenon. The objective of this book is also clear to see from the methods we have chosen and the subjects we address. This book deals first and foremost with spatially explicit data that can be mapped. However, its additional focus o作者: 不法行為 時間: 2025-3-29 14:55
Techniques for the Validation of LUCC Modeling Outputse hard-classified simulation maps, while ROC is used to test soft-classified maps. We then look at a second validation approach based on LUCC dynamics such as LUCC components, intensity analysis, data uncertainty and the impact of spatial and temporal scales. Finally, we compare a group of the most 作者: 無禮回復(fù) 時間: 2025-3-29 18:29
LUCC Scenarios scenarios of various kinds, including those on land-use cover change (LUCC) studied in this book. Such is the current popularity of scenario techniques in terms of the number of applications and users that the relevant literature reveals a wide array of different and often contradictory definitions作者: 在前面 時間: 2025-3-29 23:10
Impact and Integration of Multiple Training Dates for Markov Based Land Change Modelingch is weighted according to time distance from the present in order to fix expected total change in the simulation step and at the category level. We then produce alternatives to Markov chains at a transitional level. In this way we integrate all available LUCC-budgets and propose different methods 作者: Blasphemy 時間: 2025-3-30 00:28 作者: Climate 時間: 2025-3-30 06:38 作者: 補助 時間: 2025-3-30 11:22 作者: fabricate 時間: 2025-3-30 13:50
Urban Land Use Change Analysis and Modeling: A Case Study of the Gaza Stripp based on sound, accurate information. This study combines the use of satellite remote sensing with geographic information systems (GISs). The spatial database was developed by using six Landsat images taken in 1972, 1982, 1990, 2002, 2013 and 2014, together with different geodatabases for those ye作者: 步兵 時間: 2025-3-30 19:51 作者: 適宜 時間: 2025-3-30 23:14 作者: 下船 時間: 2025-3-31 04:22
Geomatic Approaches for Modeling Land Change Scenarios作者: 里程碑 時間: 2025-3-31 06:43 作者: Obstacle 時間: 2025-3-31 10:25 作者: 蚊子 時間: 2025-3-31 14:59
