期刊名: Geographies

期刊主页: https://www.mdpi.com/journal/geographies?n1=43&_utm_from=315ffb84f5

如果你需要快速抓住领域热点，这些工作值得重点关注! Geographies期刊2023-2024精选文章，为您提供最受欢迎的研究进展！

1. 英文标题：Estimating Riparian Water Movement in an Incipient Karst Landscape—Minnesota, USA

中文标题：估算早期喀斯特地貌中的河岸水运动—美国明尼苏达州

文章链接：http://www.mdpi.com/2673-7086/4/1/6

MDPI引用格式：Aggarwal, S.; Kuehner, K.J.; Magner, J. Estimating Riparian Water Movement in an Incipient Karst Landscape—Minnesota, USA. Geographies 2024, 4, 83-94. https://doi.org/10.3390/geographies4010006

2. 英文标题：Farmer Perceptions of Land Cover Classification of UAS Imagery of Coffee Agroecosystems in Puerto Rico

中文标题：波多黎各咖啡农业生态系统无人机影像土地覆盖分类的农民认知

文章链接：http://www.mdpi.com/2673-7086/4/2/19

MDPI引用格式：Klenke, G.; Brines, S.; Hernandez, N.; Li, K.; Glancy, R.; Cabrera, J.; Neal, B.H.; Adkins, K.A.; Schroeder, R.; Perfecto, I. Farmer Perceptions of Land Cover Classification of UAS Imagery of Coffee Agroecosystems in Puerto Rico. Geographies 2024, 4, 321-342. https://doi.org/10.3390/geographies4020019

3. 英文标题：Application of Machine Learning Models for Improving Discharge Prediction in Ungauged Watershed: A Case Study in East DuPage, Illinois

中文标题：机器学习模型在改进无资料流域流量预测中的应用：以伊利诺伊州东杜佩奇市为例

文章链接：http://www.mdpi.com/2673-7086/4/2/21

MDPI引用格式：Asadollahi, A.; Magar, B.A.; Poudel, B.; Sohrabifar, A.; Kalra, A. Application of Machine Learning Models for Improving Discharge Prediction in Ungauged Watershed: A Case Study in East DuPage, Illinois. Geographies 2024, 4, 363-377. https://doi.org/10.3390/geographies4020021

4. 英文标题：Early Uses by Ancient Hawaiians, and Environmental, Geographical, and Ecological History, of Haleakalā Crater, East Maui

中文标题：古代夏威夷人的早期利用以及东茂宜岛哈雷阿卡尔火山口的环境、地理和生态历史

文章链接：http://www.mdpi.com/2673-7086/4/2/22

MDPI引用格式：Pérez, F.L. Early Uses by Ancient Hawaiians, and Environmental, Geographical, and Ecological History, of Haleakalā Crater, East Maui. Geographies 2024, 4, 378-410. https://doi.org/10.3390/geographies4020022

5. 英文标题：Understanding the Basis of Schmitt’s Map of South Germany: Georeferencing the Sketches of Starzinsky and Sarret (Late 1790’s)

中文标题：理解施密特南德地图的基础：对斯塔因斯基和萨雷特的草图进行地理配准（18世纪90年代后期）

文章链接：http://www.mdpi.com/2673-7086/4/3/27

MDPI引用格式：Kiss, E.; Timár, G. Understanding the Basis of Schmitt’s Map of South Germany: Georeferencing the Sketches of Starzinsky and Sarret (Late 1790’s). Geographies 2024, 4, 500-512. https://doi.org/10.3390/geographies4030027

6. 英文标题：Assessing the Efficiency of Fully Two-Dimensional Hydraulic HEC-RAS Models in Rivers of Cyprus

中文标题：评估塞浦路斯河流全二维水力HEC-RAS模型的效率

文章链接：http://www.mdpi.com/2673-7086/4/3/28

MDPI引用格式：Siakara, G.; Gourgouletis, N.; Baltas, E. Assessing the Efficiency of Fully Two-Dimensional Hydraulic HEC-RAS Models in Rivers of Cyprus. Geographies 2024, 4, 513-536. https://doi.org/10.3390/geographies4030028

7. 英文标题：Evaluating Google Maps’ Eco-Routes: A Metaheuristic-Driven Microsimulation Approach

中文标题：评估谷歌地图的生态路线：一种元启发式驱动的微观模拟方法

文章链接：http://www.mdpi.com/2673-7086/4/4/40

MDPI引用格式：Jovanovic, A.; Gavric, S.; Stevanovic, A. Evaluating Google Maps’ Eco-Routes: A Metaheuristic-Driven Microsimulation Approach. Geographies 2024, 4, 732-752. https://doi.org/10.3390/geographies4040040

8. 英文标题：Monitoring and Analyzing the Seasonal Wetland Inundation Dynamics in the Everglades from 2002 to 2021 Using Google Earth Engine

中文标题：使用 Google Earth Engine 监测和分析 2002 年至 2021 年大沼泽地季节性湿地淹没动态

文章链接：http://www.mdpi.com/2673-7086/3/1/10

MDPI引用格式：Hasan, I.; Liu, W.; Xu, C. Monitoring and Analyzing the Seasonal Wetland Inundation Dynamics in the Everglades from 2002 to 2021 Using Google Earth Engine. Geographies 2023, 3, 161-177. https://doi.org/10.3390/geographies3010010

9. 英文标题：Nature–Human Relational Models in a Riverine Social–Ecological System: San Marcos River, TX, USA

中文标题：河流社会生态系统中的自然与人类关系模型：美国德克萨斯州圣马科斯河

文章链接：http://www.mdpi.com/2673-7086/3/2/12

MDPI引用格式：Lopez, C.W.; Wade, M.T.; Julian, J.P. Nature–Human Relational Models in a Riverine Social–Ecological System: San Marcos River, TX, USA. Geographies 2023, 3, 197-245. https://doi.org/10.3390/geographies3020012

10. 英文标题：Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information

中文标题：研究利用街道影像和深度学习生成现场作物类型信息

文章链接：http://www.mdpi.com/2673-7086/3/3/29

MDPI引用格式：Orduna-Cabrera, F.; Sandoval-Gastelum, M.; McCallum, I.; See, L.; Fritz, S.; Karanam, S.; Sturn, T.; Javalera-Rincon, V.; Gonzalez-Navarro, F.F. Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information. Geographies 2023, 3, 563-573. https://doi.org/10.3390/geographies3030029

Geographies 期刊介绍

主编：Prof. Dr. Luca Salvati, University of Macerata, Italy

Geographies (ISSN 2673-7086) 创刊于2021年，旨在为有关地理学各方面的理论和实证研究提供一个平台，发文范围涉及整个地理学领域，包括但不限于气候学、地貌学、生物地理学、水文学、景观生态学、土壤地理学、地理信息学、经济地理、人口地理。目前，期刊已被Scopus，ESCI (Web of Science)、AGRIS等多个数据库收录。