The Spatial Distribution Characteristics of the Cultivated Land Quality in the Diluvial Fan Terrain of the Arid Region: A Case Study of Jimsar County, Xinjiang, China
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Pontus Hennerdal & Michael Meinild Nielsen, 2017. "A Multiscalar Approach for Identifying Clusters and Segregation Patterns That Avoids the Modifiable Areal Unit Problem," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(3), pages 555-574, May.
- Bergmeir, Christoph & Hyndman, Rob J. & Koo, Bonsoo, 2018. "A note on the validity of cross-validation for evaluating autoregressive time series prediction," Computational Statistics & Data Analysis, Elsevier, vol. 120(C), pages 70-83.
- Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2021. "Cultivated land protection and rational use in China," Land Use Policy, Elsevier, vol. 106(C).
- Xiangbin Kong, 2014. "China must protect high-quality arable land," Nature, Nature, vol. 506(7486), pages 7-7, February.
- Shanshan Liu & Tianling Qin & Biqiong Dong & Xuan Shi & Zhenyu Lv & Guangjun Zhang, 2021. "The Influence of Climate, Soil Properties and Vegetation on Soil Nitrogen in Sloping Farmland," Sustainability, MDPI, vol. 13(3), pages 1-14, February.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Chengqiang Li & Junxiao Wang & Liang Ge & Yujie Zhou & Shenglu Zhou, 2022. "Optimization of Sample Construction Based on NDVI for Cultivated Land Quality Prediction," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
- Yuan Yao & Guohua He & Wei Li & Yong Zhao & Haihong Li & Fan He, 2023. "Assessing the Influence of Water Conservancy Projects on China’s Reserve Resources for Cultivated Land," Land, MDPI, vol. 12(9), pages 1-20, September.
- Tianlong Liu & Xiang Ji & Yaxi Gong, 2022. "Wetland Functional Area Division Method: A Correlation Analysis of Water Quality and Landscape Structure," Sustainability, MDPI, vol. 14(21), pages 1-26, October.
- Zhiyuan Zhu & Zhenzhong Dai & Shilin Li & Yongzhong Feng, 2022. "Spatiotemporal Evolution of Non-Grain Production of Cultivated Land and Its Underlying Factors in China," IJERPH, MDPI, vol. 19(13), pages 1-15, July.
- Zixuan Wang & Xufeng Fei & Meiling Sheng & Rui Xiao, 2023. "Exploring the Spatial–Temporal Variation in Cultivated Land Quality and Influential Factors in the Lower Reaches of the Yangtze River from 2017 to 2020," Land, MDPI, vol. 12(2), pages 1-14, January.
- Ziwei Liu & Mingchang Wang & Xingnan Liu & Fengyan Wang & Xiaoyan Li & Jianguo Wang & Guanglei Hou & Shijun Zhao, 2023. "Ecological Security Assessment and Warning of Cultivated Land Quality in the Black Soil Region of Northeast China," Land, MDPI, vol. 12(5), pages 1-17, May.
- Jianhui Dong & Wenju Yun & Kening Wu & Shaoshuai Li & Bingrui Liu & Qiaoyuan Lu, 2023. "Spatio-Temporal Analysis of Cultivated Land from 2010 to 2020 in Long’an County, Karst Region, China," Land, MDPI, vol. 12(2), pages 1-22, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Zhang, Bangbang & Li, Xian & Chen, Haibin & Niu, Wenhao & Kong, Xiangbin & Yu, Qiang & Zhao, Minjuan & Xia, Xianli, 2022. "Identifying opportunities to close yield gaps in China by use of certificated cultivars to estimate potential productivity," Land Use Policy, Elsevier, vol. 117(C).
- Dang, Yuxuan & Zhao, Zhenting & Kong, Xiangbin & Lei, Ming & Liao, Yubo & Xie, Zhen & Song, Wei, 2023. "Discerning the process of cultivated land governance transition in China since the reform and opening-up-- Based on the multiple streams framework," Land Use Policy, Elsevier, vol. 133(C).
- Xue Wang, 2022. "Changes in Cultivated Land Loss and Landscape Fragmentation in China from 2000 to 2020," Land, MDPI, vol. 11(5), pages 1-16, May.
- Chengxiu Li & Xiuli Wang & Zhengxin Ji & Ling Li & Xiaoke Guan, 2022. "Optimizing the Use of Cultivated Land in China’s Main Grain-Producing Areas from the Dual Perspective of Ecological Security and Leading-Function Zoning," IJERPH, MDPI, vol. 19(20), pages 1-20, October.
- Congmou Zhu & Lixia Yang & Qiuyu Xu & Jinwei Fu & Yue Lin & Le Sun & Shan He & Shaofeng Yuan, 2022. "A Comparative Analysis of Farmland Occupation by Urban Sprawl and Rural Settlement Expansion in China," Land, MDPI, vol. 11(10), pages 1-16, October.
- Qi Guo & Bruno Remillard & Anatoliy Swishchuk, 2020. "Multivariate General Compound Point Processes in Limit Order Books," Risks, MDPI, vol. 8(3), pages 1-20, September.
- Henriques, Irene & Sadorsky, Perry, 2023. "Forecasting rare earth stock prices with machine learning," Resources Policy, Elsevier, vol. 86(PA).
- Qiu, Bingwen & Li, Haiwen & Tang, Zhenghong & Chen, Chongcheng & Berry, Joe, 2020. "How cropland losses shaped by unbalanced urbanization process?," Land Use Policy, Elsevier, vol. 96(C).
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022.
"How is machine learning useful for macroeconomic forecasting?,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 920-964, August.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Working Papers 20-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Aug 2020.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & St'ephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Papers 2008.12477, arXiv.org.
- Hewamalage, Hansika & Bergmeir, Christoph & Bandara, Kasun, 2021. "Recurrent Neural Networks for Time Series Forecasting: Current status and future directions," International Journal of Forecasting, Elsevier, vol. 37(1), pages 388-427.
- Gary S. Anderson & Alena Audzeyeva, 2019. "A Coherent Framework for Predicting Emerging Market Credit Spreads with Support Vector Regression," Finance and Economics Discussion Series 2019-074, Board of Governors of the Federal Reserve System (U.S.).
- Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," Working Papers halshs-03626503, HAL.
- Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2021. "Short-Term Exuberance and Long-Term Stability: A Simultaneous Optimization of Stock Return Predictions for Short and Long Horizons," Mathematics, MDPI, vol. 9(6), pages 1-19, March.
- Chengqiang Li & Junxiao Wang & Liang Ge & Yujie Zhou & Shenglu Zhou, 2022. "Optimization of Sample Construction Based on NDVI for Cultivated Land Quality Prediction," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
- Richard Schnorrenberger & Aishameriane Schmidt & Guilherme Valle Moura, 2024. "Harnessing Machine Learning for Real-Time Inflation Nowcasting," Working Papers 806, DNB.
- Xiaowei Yao & Ting Luo & Yingjun Xu & Wanxu Chen & Jie Zeng, 2022. "Prediction of Spatiotemporal Changes in Sloping Cropland in the Middle Reaches of the Yangtze River Region under Different Scenarios," IJERPH, MDPI, vol. 20(1), pages 1-22, December.
- Tomáš Plíhal, 2021. "Scheduled macroeconomic news announcements and Forex volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1379-1397, December.
- Huber, Jakob & Stuckenschmidt, Heiner, 2020. "Daily retail demand forecasting using machine learning with emphasis on calendric special days," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1420-1438.
- Georgia Koppe & Hazem Toutounji & Peter Kirsch & Stefanie Lis & Daniel Durstewitz, 2019. "Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI," PLOS Computational Biology, Public Library of Science, vol. 15(8), pages 1-35, August.
- Manal A. Alnaimy & Sahar A. Shahin & Ahmed A. Afifi & Ahmed A. Ewees & Natalia Junakova & Magdalena Balintova & Mohamed Abd Elaziz, 2022. "Spatio Prediction of Soil Capability Modeled with Modified RVFL Using Aptenodytes Forsteri Optimization and Digital Soil Assessment Technique," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
More about this item
Keywords
cultivated land quality evaluation; cultivated land quality spatial distribution; MAUP; influence factor; diluvial fan of arid region;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:9:p:896-:d:621809. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.