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51.
Prediction of multinomial probability of land use change using a bisection decomposition and logistic regression 总被引:1,自引:1,他引:1
Land use change is an important research area in landscape ecology and urban development. Prediction of land use change (urban
development) provides critical information for making the right policies and management plans in order to maintain and improve
ecosystem and city functions. Logistic regression is a widely used method to predict binomial probabilities of land use change
when just two responses (change and no-change) are considered. However, in practice, more than two types of change are encountered
and multinomial probabilities are therefore needed. The existing methods for predicting multinomial probabilities have limits
in building multinomial probability models and are often based on improper assumptions. This is due to the lack of proper
methodology and inadequate software. In this study, a procedure has been developed for building models to predict the multinomial
probabilities of land use change and urban development. The foundation of this procedure consists of a special bisection decomposition
system for the decomposition of multiple-class systems to bi-class systems, conditional probability inference, and logistic
regression for binomial probability models. A case study of urban development has been conducted to evaluate this procedure.
The evaluation results demonstrated that different samples and bisection decomposition systems led to very similar quality
and performance in the developed multinomial probability models, which indicates the high stability of the proposed procedure
for this case study. 相似文献
52.
53.
Agent-based land-use models: a review of applications 总被引:9,自引:0,他引:9
Robin B. Matthews Nigel G. Gilbert Alan Roach J. Gary Polhill Nick M. Gotts 《Landscape Ecology》2007,22(10):1447-1459
Agent-based modelling is an approach that has been receiving attention by the land use modelling community in recent years,
mainly because it offers a way of incorporating the influence of human decision-making on land use in a mechanistic, formal,
and spatially explicit way, taking into account social interaction, adaptation, and decision-making at different levels. Specific
advantages of agent-based models include their ability to model individual decision-making entities and their interactions,
to incorporate social processes and non-monetary influences on decision-making, and to dynamically link social and environmental
processes. A number of such models are now beginning to appear—it is timely, therefore, to review the uses to which agent-based
land use models have been put so far, and to discuss some of the relevant lessons learnt, also drawing on those from other
areas of simulation modelling, in relation to future applications. In this paper, we review applications of agent-based land
use models under the headings of (a) policy analysis and planning, (b) participatory modelling, (c) explaining spatial patterns
of land use or settlement, (d) testing social science concepts and (e) explaining land use functions. The greatest use of
such models so far has been by the research community as tools for organising knowledge from empirical studies, and for exploring
theoretical aspects of particular systems. However, there is a need to demonstrate that such models are able to solve problems
in the real world better than traditional modelling approaches. It is concluded that in terms of decision support, agent-based
land-use models are probably more useful as research tools to develop an underlying knowledge base which can then be developed
together with end-users into simple rules-of-thumb, rather than as operational decision support tools.
This paper arises from research conducted as part of the UK Research Councils’ RELU Programme (award number RES-224-25-0102).
RELU is funded jointly by the Economic and Social Research Council, the Biotechnology and Biological Sciences Research Council
and the Natural Environment Research Council, with additional funding from the Department for Environment, Food and Rural
Affairs and the Scottish Executive Environment and Rural Affairs Department. 相似文献
54.
55.
The forests of Austrocedrus chilensis in southern Argentina suffer mortality from “mal del ciprés”, whose causes remain unknown. The purpose of this work was to establish the relation of soil features with the occurrence of the disease. In Río Grande Valley, Chubut Province, Argentina, 14 areas with “mal del ciprés” were selected for study. The spatial pattern of the decline varied among the different areas and was classified as aggregated and disaggregated. In each area, symptomatic and asymptomatic plots were established and characterized by 11 edaphic and topographic variables. Three forest areas where the disease was totally absent were also included. Site features were related to the occurrence of the decline using principal component analysis and cluster analysis. Results indicated that soil properties related to poor internal drainage, such as the proximity to water streams, non-allophanized soils of fine textures, and redoximorphic features, act as predisposing factors to the development of “mal del ciprés”. Poor soil drainage was strongly associated not only with the occurrence of the disease, but also with its spatial pattern. Symptomatic and asymptomatic plots presented similar edaphic features in areas with a disaggregated distribution of the decline and were grouped together in the multivariate analysis. This result suggests that large areas with such a pattern are prone to develop the decline. 相似文献
56.
针对哈尔滨市南岗区果戈里大街的路面设计、施工状况的调查,分析了沥青路面裂缝原因与几个因素的关系,并结合有关资料提出一些防治措施。 相似文献
57.
This study focuses on the problem of irregular diameter structure in a silver fir–beech selection (plenter) forest with a “surplus” of large diameter trees and a lack of natural regeneration and small diameter trees. We sampled 274 plots (900 m2 each) in the Belevine research site (266.24 ha) in the mountain region Gorski Kotar (Croatia), where diameter (dbh) distribution, diameter increment, and natural regeneration were analyzed in detail. A low density of natural regeneration, weak annual recruitment of small (10 cm dbh) diameter trees (only five trees per hectare), delayed diameter growth of trees, and a low annual rate of trees reaching the next dbh class were attributed to the current irregular dbh structure. The stand development prediction for the next 50 years is based on a simulation model, which considers the current diameter structure, increment, recruitment, and future cutting regime. Intensive cutting in the first of five 10-year cutting cycles (intensity higher of 25%) is needed to initiate natural regeneration and to accelerate growth of young silver fir trees. In the next 50 years, the irregular diameter structure will be gradually improved. 相似文献
58.
The performance (survival and growth) of Douglas-fir (Pseudotsuga menziesii Mirb. Franco.) seedlings planted in minimally disturbed, scalped, and bedded soils, both with and without herbicidal control of weeds, were compared. Douglas-fir growing for 3 years in bedded soils treated with herbicide were heavier, taller, and had deeper root systems than trees growing in other preparations. Scalping did not improve seedling performance when compared to minimally disturbed soils. Soils rich in organic matter benefited tree growth. Competing vegetation in raised beds was detrimental to seedling performance. 相似文献
59.
60.