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Update Multifunctional Transformation of Agricultural Space and Impacts on Habitat Quality authored by Guo Wenxu's avatar Guo Wenxu
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Quality Quality
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**Document version_1.2 Extended abstract 01.04.2025**\ **Document version_1.2 Extended abstract 01.04.2025**\
**Project information**\ **Project information**\
Acronym: MTAS&IHQ-Agricultural Space Multifunctionality\ Acronym: MTAS&IHQ-Agricultural Space Multifunctionality\
...@@ -25,7 +26,7 @@ The required hardware contains: ...@@ -25,7 +26,7 @@ The required hardware contains:
Computer\ Computer\
Method:\ Method:\
Constructing a multifunctional evaluation index system for agricultural space Constructing a multifunctional evaluation index system for agricultural space
![image](uploads/6a6e731756b4b3f9f2e51f1bf02a5f07/image.png){width=497 height=307} ![image](uploads/6a6e731756b4b3f9f2e51f1bf02a5f07/image.png){width=497 height=307}\
2.Spatial regression analyses of the impact of spatial transformation of agriculture on habitat quality 2.Spatial regression analyses of the impact of spatial transformation of agriculture on habitat quality
Selection of a suitable spatial regression model to analyse the spatial coupling between multifunctional transformation of agricultural space and changes in habitat quality. By identifying the transformation of the dominant functional type of the image elemnt or selecting the change of the functional value as the explanatory variable (X), and the change value of the habitat quality of the image element as the explanatory variable (Y), to explore the influence law and weight coefficients. The more significant spatial regression model was selected for regression analysis by LM test and robust LM test.\ Selection of a suitable spatial regression model to analyse the spatial coupling between multifunctional transformation of agricultural space and changes in habitat quality. By identifying the transformation of the dominant functional type of the image elemnt or selecting the change of the functional value as the explanatory variable (X), and the change value of the habitat quality of the image element as the explanatory variable (Y), to explore the influence law and weight coefficients. The more significant spatial regression model was selected for regression analysis by LM test and robust LM test.\
Expected results:\ Expected results:\
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