DOI: 10.5061/dryad.v6wwpzgz0
title: Data for: Modeling of spatial pattern and influencing factors of cultivated land quality based on spatial-temporal big data (PONE-D-21-21084R1)

description: The quality of cultivated land determines the production capacity of
 cultivated land and the level of regional development, and also directly
 affects the food security and ecological safety of the country. This paper
 starts from the perspective of spatial pattern of cultivated land quality
 and uses spatial autocorrelation analysis to study the spatial aggregation
 characteristics and differences of cultivated land quality in Henan
 Province at the county level scale, and also uses bivariate spatial
 autocorrelation to analyze the influence of neighboring influences on the
 quality of cultivated land in the target area. The spatial autoregressive
 model was used to further analyze the driving factors affecting the
 quality of cultivated land, and the influence of cultivated land area
 index was coupled in the process of rating analysis, which was finally
 used as a basis to propose more precise measures for the protection of
 cultivated land zoning. The results show that: (1) The quality of
 cultivated land in Henan Province has a strong spatial correlation (global
 Moran's I≈0.710) and shows an obvious aggregation pattern in spatial
 distribution; positive correlation types (high-high and low-low) are
 concentrated in north-central and western mountainous areas of Henan
 Province, respectively; negative correlation types are
 discrete. The negative correlation types are distributed in a
 discrete manner. (2) The bivariate spatial autocorrelation results show
 that Slope (Moran's I≈-0.505), Irrigation guarantee
 rate (IGR, 0.354), Urbanization rate (-0.255),
 Total agricultural machinery power (TAMP, 0.331) and
 Pesticide use (0.214) are the main influencing factors. (3)
 According to the absolute values of the regression coefficients, it can be
 seen that the magnitude of the influence of different factors on the
 quality of cultivated land is:
 Slope (0.089) &gt;IGR (0.025) &gt; Urbanization rate (0.002) &gt; TAMP (0.001) &gt; Pesticide use (1.96e-006). (4) Based on the spatial pattern presented by the spatial autocorrelation results, we proposed corresponding protection zoning measures to provide more scientific reference decisions and technical support for the implementation of refined cultivated land management in Henan Province. 
description: The data I submitted included topographic slope, irrigation
 guarantee rate, gross product, population size, soil pH, pesticide use,
 and total agricultural machinery power for each county and district in
 Henan Province. It also contains layer data of administrative
 divisions. 
description: Because we signed a confidentiality agreement with the Natural
 Resources Bureau, the spatial data on cropland quality used in the study
 could not be shared. In the data source table below I provide the email
 address and contact information of the Natural Resources Bureau of Henan
 Province. If<br>other scholars need to use the data, they can apply
 to them for the right to use the data.<br><br>No. Data
 Description of Data Source Department of Data Source<br>1. Natural
 quality grade, utilization grade and economic grade of cultivated land,
 Spatial Data Database of the 2018 Cultivated Land Quality Grade Update
 Project in Henan Province Natural Resources Planning Bureau of Henan
 Province<br>Email: gtzytxxgk@163.com<br>TEL:0371-68108041<br>2. Data on slope, IGR ,TAMP and other influencing factors in each county cultivated land quality update evaluation results and County Statistical Yearbook(2018)<br>URL: https://kns.cnki.net/KNS8/DefaultResult/Index?dbcode=CYFD&kw=2018%E5%8E%BF%E5%9F%9F%E7%BB%9F%E8%AE%A1&korder=SU Agriculture Bureau<br>3. Town bound boundaries Industrial and tourism development planning Development and<br>Reform Commission and Resource and Environment Science and Data Center<br>URL: https://www.resdc.cn/Default.aspx"