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Habitat factor-based vegetation type spatial simulation method

A vegetation and factor technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems that cannot meet the simulation analysis of vegetation types, and cannot reflect the influence and interaction mechanism of vegetation type habitat factors.

Inactive Publication Date: 2018-08-10
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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AI Technical Summary

Problems solved by technology

However, the existing research methods often sample a single data source for vegetation type classification or spatial analysis, which can neither reflect the mechanism of the influence and interaction of vegetation types by many habitat factors, nor satisfy the simulation analysis of vegetation types on the meso-macro scale.

Method used

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  • Habitat factor-based vegetation type spatial simulation method

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Embodiment Construction

[0019] In order to make the purpose and technical solution of the present invention clearer, the present invention will be further described in detail below. It should be understood that the specific real-time manner described here is only used to explain the present invention, and is not intended to limit the present invention.

[0020] The invention discloses a vegetation type space simulation method based on habitat factors, comprising the following steps:

[0021] The first step is the collection and preprocessing of relevant habitat factor data in the study area;

[0022] The second step is the construction of vegetation type spatial simulation model and parameter selection;

[0023] The third step is to simulate the spatial distribution of vegetation types.

[0024] The specific steps are described in detail below:

[0025] The collection and preprocessing of relevant habitat factor data in the study area. Based on the strong correlation between the vegetation type s...

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Abstract

The invention discloses a habitat factor-based vegetation type spatial simulation method. The method, for spatial complexity and nonlinearity characteristics of vegetation type distribution, introduces an SVM algorithm, and builds a habitat factor-based vegetation type spatial simulation model. The method mainly comprises the three steps of firstly, by utilizing remote sensing and GIS spatial analysis methods, preprocessing basic data of habitat factors such as physioclimate, soil terrains, population traffic and the like of a case area; secondly, adopting a radial basis function (RBF) as a kernel function of an SVM, training an SVM model by applying the preprocessed basic data, searching for optimal model parameters by adopting a grid search method, and building the habitat factor-based vegetation type spatial simulation model; and finally, running and verifying the model, thereby realizing vegetation type spatial distribution simulation of the case area. The method not only facilitates realization of quantitative simulation of vegetation type and vegetation type spatial distribution in a meso-macro-scale but also has very high simulation precision and very high operability.

Description

technical field [0001] The invention relates to a vegetation type space simulation method based on habitat factors, which is applicable to the research fields of global climate change and ecological effects. Background technique [0002] Research on the relationship and mechanism between vegetation type distribution and related habitat factors is a prerequisite for the simulation of vegetation spatial distribution pattern. According to the topography and landform characteristics, natural climate conditions and the degree of interference of human activities in different regions, it is necessary to quantitatively reveal and analyze the interaction range and mechanism between the distribution of vegetation types and habitat factors. The core content of changing trends and their future scenarios. At present, in the research on the spatial distribution of vegetation, the methods including field quadrat-transect field survey method and the combination of remote sensing and GIS te...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 范泽孟周勋岳天祥
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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