Spatial Distribution Characteristics of Species Diversity Using Geographically Weighted Regression Model

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparison of Geographically Weighted Regression and Regression Kriging to Estimate the Spatial Distribution of Aboveground Biomass of Zagros Forests

Aboveground biomass (AGB) of forests is an essential component of the global carbon cycle. Mapping above-ground biomass is important for estimating CO2 emissions, and planning and monitoring of forests and ecosystem productivity. Remote sensing provides wide observations to monitor forest coverage, the Landsat 8 mission provides valuable opportunities for quantifying the distribution of above-g...

متن کامل

Evaluation of species diversity and spatial distribution characteristics of five dominant plant species in Hamoon wetlands

This research aimed to investigate plant species diversity and spatial distribution of five dominant species i.e. Phragmites australis, Tamarix meyeri, Aeluropus littoralis, Aeluropus lagopoides and Cynodon dactylon in Hamoon international wetlands in 2015. To this end, a randomize-systematic sampling method was used according to w pattern by four strip transect at 5000 m2 at each station. The ...

متن کامل

Local spatial variations analysis of smear-positive tuberculosis in Xinjiang using Geographically Weighted Regression model

BACKGROUND The spatial interplay between socioeconomic factors and tuberculosis (TB) cases contributes to the understanding of regional tuberculosis burdens. Historically, local Poisson Geographically Weighted Regression (GWR) has allowed for the identification of the geographic disparities of TB cases and their relevant socioeconomic determinants, thereby forecasting local regression coefficie...

متن کامل

A new spatial-attribute weighting function for geographically weighted regression

In recent years, geographically weighted regression (GWR) has become popular for modeling spatial heterogeneity in a regression context. However, the current weighting function used in GWR only considers the geographical distances of trees in a stand, while the attributes (e.g., tree diameter) of the neighboring trees are totally ignored. In this study, we proposed a new weighting function that...

متن کامل

Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity

model which allows diferent relationships to exist at diferent points in space. This technique is loosely based on kernel regression. The method itself is introduced and related issues such as the choice of a spatial weighting function are discussed. Following this, a series of related statistical tests are considered which can be described generally as tests f o r spatial nonstationarity. Usin...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Sensors and Materials

سال: 2019

ISSN: 0914-4935

DOI: 10.18494/sam.2019.2300