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Springer地學(xué)期刊:Journal of Geovisualization and Spatial Analysis介紹
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Journal of Geovisualization and Spatial Analysis介紹（JGSA） 國(guó)際英文期刊Journal of Geovisualization and Spatial Analysis簡(jiǎn)稱JGSA，是由蘭州交通大學(xué)閆浩文教授發(fā)起，Springer公司出版的英文地學(xué)期刊。JGSA由閆浩文教授、美國(guó)University of Nebraska at Omaha地圖學(xué)專家Michael Peterson教授、香港理工大學(xué)地理信息專家李志林教授作為共同主編。近30名來(lái)自北美、歐洲、亞太等地區(qū)國(guó)際知名專家作為編輯委員會(huì)的知名地學(xué)期刊。JGSA旨在提供一個(gè)共享、先進(jìn)、創(chuàng)新的地理空間與可視化的理論、方法、應(yīng)用的交流平臺(tái)。持續(xù)跟蹤制圖學(xué)、空間分析與可視化等國(guó)際前沿地先進(jìn)技術(shù)。定期發(fā)布地圖學(xué)、地理信息科學(xué)/系統(tǒng)、遙感、攝影測(cè)量、全球定位系統(tǒng)等不同領(lǐng)域如等方面的高水平研究論文、報(bào)告與短評(píng)。 JGSA于2016年6月正式在蘭州交通大學(xué)揭牌成立，同時(shí)，期刊成立了專門的雜志編輯部，編輯部掛靠在測(cè)繪與地理信息學(xué)院，周亮博士擔(dān)任編輯部主任。目前期刊每年兩期，2019年開(kāi)始期刊以季刊形式出版，每年刊發(fā)4期，每期5-6篇文章。北京時(shí)間2017年7月4日，JGSA首刊在Springer正式在線出版。 期刊將竭誠(chéng)為大家提供一個(gè)良好的交流學(xué)習(xí)平臺(tái)。希望相關(guān)專業(yè)的研究學(xué)者能踴躍投稿，將優(yōu)秀的論文成果譜寫(xiě)在祖國(guó)的大地上。也期望大家能給予新的期刊更多的關(guān)注、支持與批評(píng)。 JGSA網(wǎng)頁(yè)：http://www.springer.com/journal/41651 投稿入口：http://www.springer.com/journal/41651?IFA 編輯部地址/Add: 蘭州市安寧區(qū)安寧西路88號(hào)，蘭州大學(xué)綜合辦公樓806室 88 West Anning Rd. Lanzhou, 730070, China. 電話/Tel: 86-0931-4957211, 86-0931-4957227 Email: journalgsa@gmail.com Publisher: Springer International Publishing AG, Gewerbestrasse 11, 6330 Cham, Switzerland ISSN (print version): 2509-8810 ISSN (Electronic version): 2509-8829 The Journal of Geovisualization and Spatial Analysis [JGSA] provides an advanced forum for theories and applications of geospatial analysis and visualization. The journal serves diverse fields such as cartography, geographic information science/systems, remote sensing, location-based services, photogrammetry, geology, etc. It publishes high-quality research papers, reviews, and communications. While there is no restriction on the length of the papers, the standard length is between 3000-5000 words. JGSA publishes papers on subjects which include visualization theory and technology in real and virtual environments, cartography and cartographic communication, geovisualization and analysis of dynamic phenomena (e.g., movement data and change detection), multiscale and/or higher dimensional visualization of geospatial data, applications of geovisualization such as in geology, landscape design, decision-making, disaster response analysis of social interactions and education, human recognition of geovisualization, geovisualization using various mobile devices (e.g., smart phones, PDAs, tablets and GPS), geovisualization in gaming technology for simulation and geospatial education, Theory and applications of spatial analysis and spatial relations, theory and applications of geo-computation and geo-statistics, spatial data handling, spatial data mining and decision support systems, geo-telematics, spatial information infrastructures and applications of geo-analysis and geovisualization technology (all possible domains). 非常感謝您對(duì)我們JGSA的大力支持！ 期刊主頁(yè)：www.springer.com/journal/41651 論文下載：http://link.springer.com/journal/41651 近期期刊刊發(fā)論文列表： Latest Articles (Issues 1 Vol 4, 2020) 1. Oladipo, J.O., Aboyeji, O.S., Akinwumiju, A.S. et al. Sample TextJournal of Geovisualization & Spatial Analysis, 2020, 4(1):1. https://doi.org/10.1007/s41651-019-0044-z 2. Zhang, J., Sang, L., Li, X. et al. Design and Implementation of Raw Data Compression System for Subsurface Detection SAR Based on FPGA. Journal of Geovisualization & Spatial Analysis, 2020, 4(1):2. https://doi.org/10.1007/s41651-019-0042-1 3. Hofmann, M., Münster, S. & Noennig, J.R. A Theoretical Framework for the Evaluation of Massive Digital Participation Systems in Urban Planning. Journal of Geovisualization & Spatial Analysis, 2020, 4(1):3. https://doi.org/10.1007/s41651-019-0040-3 4. Mao, B., Li, B. Graph-Based 3D Building Semantic Segmentation for Sustainability Analysis. Journal of Geovisualization & Spatial Analysis, 2020, 4(1):4. https://doi.org/10.1007/s41651-019-0045-y 5. Li, Z., Gong, X., Chen, J. et al. Functional Requirements of Systems for Visualization of Sustainable Development Goal (SDG) Indicators. Journal of Geovisualization & Spatial Analysis, 2020, 4(1):5. https://doi.org/10.1007/s41651-019-0046-x Issues 2 Vol 3, 2019 1. Habeeb, R., Gupta, Y., Chinwan, H. et al. Assessing Demographic and Water Sensitivities Arising due to Urban Water Insecurity in Haldwani, Uttarakhand (India): a GIS-Based Spatial Analysis. Journal of Geovisualization &Spatial Analysis, 2019, 3(2): 8. https://doi.org/10.1007/s41651-019-0031-4 2. Jenkins, J., Fleenor, A. & Dietz, F. Moving Beyond the Frame: Geovisualization of Landscape Change Along the Southwestern Edge of Yosemite National Park. Journal of Geovisualization &Spatial Analysis, 2019, 3(2):9. https://doi.org/10.1007/s41651-019-0032-3 3. Indirabai, I., Nair, M.V.H., Nair, J.R. et al. Estimation of Forest Structural Attributes Using ICESat/GLAS-Spaceborne Laser Altimetry Data in the Western Ghats Region of India. Journal of Geovisualization &Spatial Analysis, 2019, 3(2):10. https://doi.org/10.1007/s41651-019-0033-2 4. Kong, F., Wen, K. & Li, Y. Regularized Multiple Sparse Bayesian Learning for Hyperspectral Target Detection. Journal of Geovisualization &Spatial Analysis, 2019, 3(2):11. https://doi.org/10.1007/s41651-019-0034-1 5. Rana, V.K. & Suryanarayana, T.M.V. Visual and statistical comparison of ASTER, SRTM, and Cartosat digital elevation models for watershed. Journal of Geovisualization & Spatial Analysis, 2019, 3(2):12. https://doi.org/10.1007/s41651-019-0036-z 6. Zhang, J., Zhang, F., Liu, Z. et al. Efficient Path Planning Method of USV for Intelligent Target Search. Journal of Geovisualization &Spatial Analysis, 2019, 3(2):13.https://doi.org/10.1007/s41651-019-0035-0 7. Zhang, J., Zhou, Q., Shen, X. et al. Cloud Detection in High-Resolution Remote Sensing Images Using Multi-features of Ground Objects. Journal of Geovisualization & Spatial Analysis, 2019, 3(2):14. https://doi.org/10.1007/s41651-019-0037-y 8. Lindner, A. & Pitombo, C.S. Sequential Gaussian Simulation as a Promising Tool in Travel Demand Modeling. Journal of Geovisualization & Spatial Analysis, 2019, 3(2):15. https://doi.org/10.1007/s41651-019-0038-x 9. Wang, M., Zhang, X., Niu, X. et al. Scene Classification of High-Resolution Remotely Sensed Image Based on ResNet. Journal of Geovisualization & Spatial Analysis, 2019, 3(2):16. https://doi.org/10.1007/s41651-019-0039-9 10. Alshayef, M.S., Javed, A. & Mohammed, A.M.B. Appraisal of Potential Hydrocarbon Zones in Masila Oil Field, Yemen. Journal of Geovisualization & Spatial Analysis, 2019, 3(2):17. https://doi.org/10.1007/s41651-019-0043-0 11. Zhang, J., Wang, J., Sang, L. et al. Mixed Centroid Method for Spaceborne Laser Altimeter Calibration. Journal of Geovisualization & Spatial Analysis, 2019, 3(2):18. https://doi.org/10.1007/s41651-019-0041-2 Issues 1 Vol 3, 2019 1. Chacko, S., Ravichandran, C., Vairavel, S.M. et al. Employing Measurers of Spatial Distribution of Carbon Storage in Periyar Tiger Reserve, Southern Western Ghats, India. Journal of Geovisualization & Spatial Analysis, 2019, 3:1. https://doi.org/10.1007/s41651-018-0024-8 2. Kannan, R., Venkateswaran, S., Vijay Prabhu, M. et al. Demarcation of Groundwater Possible Zones in a Hard Rock Terrain, Nagavathi Watershed of Dharmapuri District, Tamil Nadu, India—Geophysical and Geoinformatics Approach. Journal of Geovisualization &Spatial Analysis, 2019, 3(1):2. https://doi.org/10.1007/s41651-018-0025-7 3. Grumbly, S.M., Frazier, T.G. & Peterson, A.G. Examining the Impact of Risk Perception on the Accuracy of Anisotropic, Least-Cost Path Distance Approaches for Estimating the Evacuation Potential for Near-Field Tsunamis. Journal of Geovisualization & Spatial Analysis, 2019, 3(1):3. https://doi.org/10.1007/s41651-019-0026-1 4. Banerjee, P., Ghose, M.K. & Pradhan, R. Identification of Essential Descriptors in Spatial Socioeconomic Impact Assessment Modeling: a Case Study of Highway Broadening in Sikkim Himalaya. Journal of Geovisualization & Spatial Analysis, 2019, 3(1):4. https://doi.org/10.1007/s41651-019-0027-0 5. Olabode, O.F. Potential Groundwater Recharge Sites Mapping in a Typical Basement Terrain: a GIS Methodology Approach. Journal of Geovisualization & Spatial Analysis, 2019, 3(1):5. https://doi.org/10.1007/s41651-019-0028-z 6. Frick, A. & Tervooren, S. A Framework for the Long-term Monitoring of Urban Green Volume Based on Multi-temporal and Multi-sensoral Remote Sensing Data. Journal of Geovisualization &Spatial Analysis, 2019, 3(1):6. https://doi.org/10.1007/s41651-019-0030-5 7. Sikder, S.K., Behnisch, M., Herold, H. et al. Geospatial Analysis of Building Structures in Megacity Dhaka: the Use of Spatial Statistics for Promoting Data-driven Decision-making. Journal of Geovisualization &Spatial Analysis, 2019, 3(1):7. https://doi.org/10.1007/s41651-019-0029-y Issues 2 Vol 2, 2018 1. Kushwaha, A.P., Pandey, A.C. & Mahto, S.S. Assessment of Runoff Pattern and Relationship to Sediment Yield of Bhagirathi–Alaknanda River Basin Using Geospatial Techniques. Journal of Geovisualization & Spatial Analysis, 2018, 2(1):9. https://doi.org/10.1007/s41651-018-0016-8 2. Achour, H., Toujani, A., Rzigui, T. et al. Forest Cover in Tunisia Before and After the 2011 Tunisian Revolution: a Spatial Analysis Approach. Journal of Geovisualization & Spatial Analysis, 2018, 2(1):10. https://doi.org/10.1007/s41651-018-0017-7 3. Newman, G., Hollander, J.B., Lee, J. et al. Smarter Shrinkage: A Neighborhood-Scaled Rightsizing Strategy Based on Land Use Dynamics. Journal of Geovisualization & Spatial Analysis, 2018, 2(2):11. https://doi.org/10.1007/s41651-018-0018-6 4. Huang, Y., Yan, Q. & Zhang, C. Spatial–Temporal Distribution Characteristics of PM 2.5, in China in 2016. Journal of Geovisualization & Spatial Analysis, 2018, 2(2):12. https://doi.org/10.1007/s41651-018-0019-5 5. Rejith, R.G., Sundararajan, M. & Kaliraj, S. A Geo-processing Modeling of Deltaic Suspended Sediment Variability. Journal of Geovisualization & Spatial Analysis, 2018, 2(2):13. https://doi.org/10.1007/s41651-018-0020-z 6. Rongali, G., Keshari, A.K., Gosain, A.K. et al. Split-Window Algorithm for Retrieval of Land Surface Temperature Using Landsat 8 Thermal Infrared Data. Journal of Geovisualization & Spatial Analysis, 2018, 2(2):14. https://doi.org/10.1007/s41651-018-0021-y 7. Ghosh, K.G. Analysis of Rainfall Trends and its Spatial Patterns During the Last Century over the Gangetic West Bengal, Eastern India. Journal of Geovisualization & Spatial Analysis, 2018, 2:15. https://doi.org/10.1007/s41651-018-0022-x 8. Palka, G., Grădinaru, S.R., Jørgensen, G. et al. Visualizing Planning Intentions: From Heterogeneous Information to Maps. Journal of Geovisualization & Spatial Analysis, 2018, 2:16. https://doi.org/10.1007/s41651-018-0023-9 Issues 1 Vol 2, 2018 1. Lindner, A., Pitombo, C.S. A Conjoint Approach of Spatial Statistics and a Traditional Method for Travel Mode Choice Issues. Journal of Geovisualization & Spatial Analysis, 2018, 2(1):1. https://doi.org/10.1007/s41651-017-0008-0 2. de Bruijn, J.A., de Moel, H., Jongman, B. et al. TAGGS: Grouping Tweets to Improve Global Geoparsing for Disaster Response. Journal of Geovisualization & Spatial Analysis, 2018, 2(1):2. https://doi.org/10.1007/s41651-017-0010-6 3. Hu, S., Karna, B. & Hildebrandt, K. Web-based Multimedia Mapping for Spatial Analysis and Visualization in the Digital Humanities-a Case Study of Language Documentation in Nepal. Journal of Geovisualization & Spatial Analysis, 2018, 2(1):3. https://doi.org/10.1007/s41651-017-0012-4 4. Ye, X., She, B. & Benya, S. Exploring Regionalization in the Network Urban Space. Journal of Geovisualization & Spatial Analysis, 2018, 2(1):4. https://doi.org/10.1007/s41651-018-0013-y 5. Chen, X. A Spatial and Temporal Analysis of the Socioeconomic Factors Associated with Breast Cancer in Illinois Using Geographically Weighted Generalized Linear Regression. Journal of Geovisualization & Spatial Analysis, 2018, 2(1):5. https://doi.org/10.1007/s41651-017-0011-5 6. Jiang, B. & Ma, D. How Complex Is a Fractal? Head/tail Breaks and Fractional Hierarchy. Journal of Geovisualization & Spatial Analysis, 2018, 2(1):6. https://doi.org/10.1007/s41651-017-0009-z 7. Jiang, W. & Stefanakis, E. What3Words Geocoding Extensions. Journal of Geovisualization & Spatial Analysis, 2018, 2(1):7. https://doi.org/10.1007/s41651-018-0014-x 8. Sarkar, T., Mishra, M. Soil Erosion Susceptibility Mapping with the Application of Logistic Regression and Artificial Neural Network. Journal of Geovisualization & Spatial Analysis, 2018, 2(1):8. https://doi.org/10.1007/s41651-018-0015-9 Issues 1 Vol 1, 2017 1. Vrotsou, K., Fuchs, G., Andrienko, N. et al. An Interactive Approach for Exploration of Flows Through Direction-Based Filtering. Journal of Geovisualization &Spatial Analysis, 2017, 1(1-2):1. https://doi.org/10.1007/s41651-017-0001-7 2. Bertone, A. & Burghardt, D. A Survey on Visual Analytics for the Spatio-Temporal Exploration of Microblogging Content. Journal of Geovisualization &Spatial Analysis, 2017, 1(1-2):2. https://doi.org/10.1007/s41651-017-0002-6 3. Heitzler, M., Lam, J.C., Hackl, J. et al. GPU-Accelerated Rendering Methods to Visually Analyze Large-Scale Disaster Simulation Data. Journal of Geovisualization &Spatial Analysis, 2017, 1(1-2):3. https://doi.org/10.1007/s41651-017-0004-4 4. Peterson, M.P., Hunt, P. & Weiß, K. Mapping Air Population. Journal of Geovisualization &Spatial Analysis, 2017, 1(1-2):4. https://doi.org/10.1007/s41651-017-0005-3 5. Nair, H.C., Padmalal, D., Joseph, A. et al. Delineation of Groundwater Potential Zones in River Basins Using Geospatial Tools—an Example from Southern Western Ghats, Kerala, India. Journal of Geovisualization & Spatial Analysis, 2017, 1(1-2):5. https://doi.org/10.1007/s41651-017-0003-5 6. Yan, H., Peterson, M.P. & Li, Z. Editorial. Journal of Geovisualization and Spatial Analysis, 2017, 1(1-2):6. https://doi.org/10.1007/s41651-017-0007-1 7. Inkoom, J.N., Nyarko, B.K. & Antwi, K.B. Explicit Modeling of Spatial Growth Patterns in Shama, Ghana: an Agent-Based Approach. Journal of Geovisualization & Spatial Analysis, 2017, 1(1-2):7. https://doi.org/10.1007/s41651-017-0006-2 |
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