理无专在,学无止境分享 http://blog.sciencenet.cn/u/bingr2000 读论文,写论文,发论文,成就科研人生

博文

Annals of GIS近期文献综述和代表性论文推荐

已有 3025 次阅读 2020-4-28 22:43 |个人分类:论文推荐|系统分类:论文交流

1. 综述和综合方法类

GOODCHILD, M. F. 2018. Reimagining the history of GIS. Annals of GIS, 24, 1-8. https://doi.org/10.1080/19475683.2018.1424737.

ZHU, A. X., LU, G., LIU, J., QIN, C. Z. & ZHOU, C. 2018. Spatial prediction based on Third Law of Geography. Annals of GIS, 24, 225-240. https://doi.org/10.1080/19475683.2018.1534890.

ZHANG, G. & ZHU, A. X. 2018. The representativeness and spatial bias of volunteered geographic information: a review. Annals of GIS, 24, 151-162https://doi.org/10.1080/19475683.2018.1501607.

SHI, X., LI, M., HUNTER, O., GUETTI, B., ANDREW, A., STOMMEL, E., BRADLEY, W. & KARAGAS, M. 2019. Estimation of environmental exposure: interpolation, kernel density estimation or snapshotting. Annals of GIS, 25, 1-8. https://doi.org/10.1080/19475683.2018.1555188.

WANG, Y.-J., QIN, C.-Z. & ZHU, A. X. 2019. Review on algorithms of dealing with depressions in grid DEM. Annals of GIS, 25, 83-97. https://doi.org/10.1080/19475683.2019.1604571.

KLEOMENIS, K., NIKOLAOS, S., ANDREAS, T. & CHRISTOS, C. 2019. A survey of the Geoinformatics use for census purposes and the INSPIRE maturity within Statistical Institutes of EU and EFTA countries. Annals of GIS, 25, 167-178. https://doi.org/10.1080/19475683.2019.1595724.

WANG, F. 2020. Why public health needs GIS: a methodological overview. Annals of GIS, 26, 1-12. https://doi.org/10.1080/19475683.2019.1702099.

 

2. 大数据,志愿者地理信息、社交数据 Big data, VGI & social media

WANG, Z., WANG, M., LIU, X. & ZHANG, Y. 2018. Deployment optimization for camera network coupling with geographic environment. Annals of GIS, 24, 9-17. https://doi.org/10.1080/19475683.2018.1424734.

HUANG, X., WANG, C. & LI, Z. 2018. A near real-time flood-mapping approach by integrating social media and post-event satellite imagery. Annals of GIS, 24, 113-123.  https://doi.org/10.1080/19475683.2018.1450787.

CAO, K. & HUANG, Q. 2018. Geo-sensor(s) for potential prediction of earthquakes: can earthquake be predicted by abnormal animal phenomena? Annals of GIS, 24, 125-138. https://doi.org/10.1080/19475683.2018.1450785.

YUAN, Y., WEI, G. & LU, Y. 2018. Evaluating gender representativeness of location-based social media: a case study of Weibo. Annals of GIS, 24, 163-176. https://doi.org/10.1080/19475683.2018.1471518.

TIKUNOV, V. S., BELOZEROV, V. S., PANIN, A. N. & ANTIPOV, S. 2018. Geoinformation monitoring of key queries of search engines, and geotagging photos in the North-Caucasian segment of the tourist route ‘Great Silk Road’. Annals of GIS, 24, 255-260. https://doi.org/10.1080/19475683.2018.1501606.

KLEOMENIS, K., NIKOLAOS, S., ANDREAS, T. & CHRISTOS, C. 2019. A survey of the Geoinformatics use for census purposes and the INSPIRE maturity within Statistical Institutes of EU and EFTA countries. Annals of GIS, 25, 167-178. https://doi.org/10.1080/19475683.2019.1595724.

GAO, S., LI, M., LIANG, Y., MARKS, J., KANG, Y. & LI, M. 2019. Predicting the spatiotemporal legality of on-street parking using open data and machine learning. Annals of GIS, 25, 299-312. https://doi.org/10.1080/19475683.2019.1679882.

 

3. 地学计算 Smart/Intelligent geographic computing

DENG, J., DESJARDINS, M. R. & DELMELLE, E. M. 2019. An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach. Annals of GIS, 25, 99-111. https://doi.org/10.1080/19475683.2019.1615550.

ZHU, Y. & YANG, J. 2019. Automatic data matching for geospatial models: a new paradigm for geospatial data and models sharing. Annals of GIS, 25, 283-298. https://doi.org/10.1080/19475683.2019.1670735.

YANG, L., BI, H., YAO, X. & CHEN, W. 2020. An indoor spatial accessible area generation approach considering distance constraints. Annals of GIS, 26, 25-34. https://doi.org/10.1080/19475683.2019.1680575.

LIN, B., XU, C., LAN, X. & ZHOU, L. 2020. A method of perspective normalization for video images based on map data. Annals of GIS, 26, 35-47.  https://doi.org/10.1080/19475683.2019.1704870.

 

4. 时空分析 Spatial-temporal analysis

TANG, T. & ZHANG, J. 2018. Time-scale sensitive sensor applications in collecting and analyzing geographic event data. Annals of GIS, 24, 241-253https://doi.org/10.1080/19475683.2018.1520299.

FAKA, A., KALOGEROPOULOS, K., ROUMELIS, S., KARAMOLEGOS, M. & CHALKIAS, C. 2019. Exposure of the road network to direct sunlight: a spatiotemporal analysis using GIS and spatial video. Annals of GIS, 25, 9-17https://doi.org/10.1080/19475683.2018.1543206.

DENG, J., DESJARDINS, M. R. & DELMELLE, E. M. 2019. An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach. Annals of GIS, 25, 99-111. https://doi.org/10.1080/19475683.2019.1615550.

YUAN, L., YU, Z. & LUO, W. 2019. Towards the next-generation GIS: a geometric algebra approach. Annals of GIS, 25, 195-206. https://doi.org/10.1080/19475683.2019.1612945.

MEJIA áVILA, D., SOTO BARRERA, V. C. & MART NEZ LARA, Z. 2019. Spatio-temporal modelling of wetland ecosystems using Landsat time series: case of the Bajo Sinú Wetlands Complex (BSWC)– Córdoba– Colombia. Annals of GIS, 25, 231-245. https://doi.org/10.1080/19475683.2019.1617347.

MOAYEDI, A., ABBASPOUR, R. A. & CHEHREGHAN, A. 2019. An evaluation of the efficiency of similarity functions in density-based clustering of spatial trajectories. Annals of GIS, 25, 313-327. https://doi.org/10.1080/19475683.2019.1679254.

 

5 空间分析 Spatial analysis

SONG, M. & CHEN, D. 2018. A comparison of three heuristic optimization algorithms for solving the multi-objective land allocation (MOLA) problem. Annals of GIS, 24, 19-31. https://doi.org/10.1080/19475683.2018.1424736.

ZHU, A. X., LU, G., LIU, J., QIN, C. Z. & ZHOU, C. 2018. Spatial prediction based on Third Law of Geography. Annals of GIS, 24, 225-240. https://doi.org/10.1080/19475683.2018.1534890.

BANERJEE, P., GHOSE, M. K. & PRADHAN, R. 2018. AHP-based Spatial Air Quality Impact Assessment Model of vehicular traffic change due to highway broadening in Sikkim Himalaya. Annals of GIS, 24, 287-302. https://doi.org/10.1080/19475683.2018.1534889.

MASHHOODI, B., STEAD, D. & VAN TIMMEREN, A. 2019. Spatial homogeneity and heterogeneity of energy poverty: a neglected dimension. Annals of GIS, 25, 19-31. https://doi.org/10.1080/19475683.2018.1557253.

OMIDIPOOR, M., JELOKHANI-NIARAKI, M. & SAMANY, N. N. 2019. A Web-based geo-marketing decision support system for land selection: a case study of Tehran, Iran. Annals of GIS, 25, 179-193. https://doi.org/10.1080/19475683.2019.1575905.

GAV RIAUX, L., LAVERRI RE, G., WANG, T., MASLOV, N. & CLARAMUNT, C. 2019. GIS-based multi-criteria analysis for offshore wind turbine deployment in Hong Kong. Annals of GIS, 25, 207-218. https://doi.org/10.1080/19475683.2019.1618393.

BRYANT, J. & DELAMATER, P. L. 2019. Examination of spatial accessibility at micro- and macro-levels using the enhanced two-step floating catchment area (E2SFCA) method. Annals of GIS, 25, 219-229. https://doi.org/10.1080/19475683.2019.1641553.

MOAYEDI, A., ABBASPOUR, R. A. & CHEHREGHAN, A. 2019. An evaluation of the efficiency of similarity functions in density-based clustering of spatial trajectories. Annals of GIS, 25, 313-327. https://doi.org/10.1080/19475683.2019.1679254.

KALINIC, M. & KRISP, J. M. 2019. Fuzzy inference approach in traffic congestion detection. Annals of GIS, 25, 329-336. https://doi.org/10.1080/19475683.2019.1675760.

YANG, L., BI, H., YAO, X. & CHEN, W. 2020. An indoor spatial accessible area generation approach considering distance constraints. Annals of GIS, 26, 25-34. https://doi.org/10.1080/19475683.2019.1680575.

LAW, J., QUICK, M. & JADAVJI, A. 2020. A Bayesian spatial shared component model for identifying crime-general and crime-specific hotspots. Annals of GIS, 26, 65-79. https://doi.org/10.1080/19475683.2020.1720290.

DOWNS, J., VAZIRI, M., DESKINS, G., KELLNER, W., MILEY, K. & UNNASCH, T. R. 2020. Optimizing arbovirus surveillance using risk mapping and coverage modelling. Annals of GIS, 26, 13-23. https://doi.org/10.1080/19475683.2019.1688391.

 

6 遥感 Remote sensing

AU YEUNG, C. & LI, R. 2018. Comparison of vegetation regeneration after wildfire between Mediterranean and tundra ecosystems by using Landsat images. Annals of GIS, 24, 99-112. https://doi.org/10.1080/19475683.2018.1424740.

JABER, S. M. 2018. Landsat-based vegetation abundance and surface temperature for surface urban heat island studies: the tale of Greater Amman Municipality. Annals of GIS, 24, 195-208. https://doi.org/10.1080/19475683.2018.1471519.

RAFIQ, M., MISHRA, A. K. & MEER, M. S. 2018. On land-use and land-cover changes over Lidder Valley in changing environment. Annals of GIS, 24, 275-285. https://doi.org/10.1080/19475683.2018.1520300.

TAO, H., LI, M., WANG, M. & L , G. 2019. Genetic algorithm-based method for forest type classification using multi-temporal NDVI from Landsat TM imagery. Annals of GIS, 25, 33-43. https://doi.org/10.1080/19475683.2018.1552621.

WAN, L., ZHANG, H., LIN, G. & LIN, H. 2019. A small-patched convolutional neural network for mangrove mapping at species level using high-resolution remote-sensing image. Annals of GIS, 25, 45-55. https://doi.org/10.1080/19475683.2018.1564791.

SHEN, Z., ZHU, X., CAO, X. & CHEN, J. 2019. Measurement of blooming effect of DMSP-OLS nighttime light data based on NPP-VIIRS data. Annals of GIS, 25, 153-165. https://doi.org/10.1080/19475683.2019.1570336.

SUN, F. & MA, R. 2019. Hydrologic changes of Aral Sea: A reveal by the combination of radar altimeter data and optical images. Annals of GIS, 25, 247-261. https://doi.org/10.1080/19475683.2019.1626909.

DAR, I., QADIR, J. & SHUKLA, A. 2019. Estimation of LST from multi-sensor thermal remote sensing data and evaluating the influence of sensor characteristics. Annals of GIS, 25, 263-281. https://doi.org/10.1080/19475683.2019.1623318.

MEJIA áVILA, D., SOTO BARRERA, V. C. & MART NEZ LARA, Z. 2019. Spatio-temporal modelling of wetland ecosystems using Landsat time series: case of the Bajo Sinú Wetlands Complex (BSWC)– Córdoba– Colombia. Annals of GIS, 25, 231-245. https://doi.org/10.1080/19475683.2019.1617347.

 

7 地图学和地学可视化 Cartography and geovisualization

REJEB BOUZGARROU, A., CLARAMUNT, C. & REJEB, H. 2019. Visualizing urban sprawl effects of a Tunisian city: a new urban spatial configuration of Monastir. Annals of GIS, 25, 71-82. https://doi.org/10.1080/19475683.2018.1557252.

LIN, B., XU, C., LAN, X. & ZHOU, L. 2020. A method of perspective normalization for video images based on map data. Annals of GIS, 26, 35-47.  https://doi.org/10.1080/19475683.2019.1704870.

 

8 GIS在灾害和公众健康领域应用 GIS in hazard and public health

KAUR, H., GUPTA, S., PARKASH, S. & THAPA, R. 2018. Application of geospatial technologies for multi-hazard mapping and characterization of associated risk at local scale. Annals of GIS, 24, 33-46. https://doi.org/10.1080/19475683.2018.1424739.

HUANG, X., WANG, C. & LI, Z. 2018. A near real-time flood-mapping approach by integrating social media and post-event satellite imagery. Annals of GIS, 24, 113-123.  https://doi.org/10.1080/19475683.2018.1450787.

CAO, K. & HUANG, Q. 2018. Geo-sensor(s) for potential prediction of earthquakes: can earthquake be predicted by abnormal animal phenomena? Annals of GIS, 24, 125-138.  https://doi.org/10.1080/19475683.2018.1450785.

TIAN, Q., JIANG, L., LEMOS, M. & QI, S. 2018. Interactions of social, natural, and technological subsystems and synergy between development and adaptation to floods around Poyang Lake. Annals of GIS, 24, 209-220.  https://doi.org/10.1080/19475683.2018.1471520.

SHI, X., LI, M., HUNTER, O., GUETTI, B., ANDREW, A., STOMMEL, E., BRADLEY, W. & KARAGAS, M. 2019. Estimation of environmental exposure: interpolation, kernel density estimation or snapshotting. Annals of GIS, 25, 1-8. https://doi.org/10.1080/19475683.2018.1555188.

KAUR, H., GUPTA, S., PARKASH, S., THAPA, R., GUPTA, A. & KHANAL, G. C. 2019. Evaluation of landslide susceptibility in a hill city of Sikkim Himalaya with the perspective of hybrid modelling techniques. Annals of GIS, 25, 113-132. https://doi.org/10.1080/19475683.2019.1575906.

WANG, F. 2020. Why public health needs GIS: a methodological overview. Annals of GIS, 26, 1-12. https://doi.org/10.1080/19475683.2019.1702099.

LAW, J., QUICK, M. & JADAVJI, A. 2020. A Bayesian spatial shared component model for identifying crime-general and crime-specific hotspots. Annals of GIS, 26, 65-79.  https://doi.org/10.1080/19475683.2020.1720290.

DOWNS, J., VAZIRI, M., DESKINS, G., KELLNER, W., MILEY, K. & UNNASCH, T. R. 2020. Optimizing arbovirus surveillance using risk mapping and coverage modelling. Annals of GIS, 26, 13-23. https://doi.org/10.1080/19475683.2019.1688391.

 

9 GIS在环境建模、自然资源管理方面应用 GIS in environment modeling/physical geography/natural resources

ZHAI, R., ZHANG, C., ALLEN, J. M., LI, W., BOYER, M. A., SEGERSON, K. & FOOTE, K. E. 2018. Predicting land use/cover change in Long Island Sound Watersheds and its effect on invasive species: a case study for glossy buckthorn. Annals of GIS, 24, 83-97. https://doi.org/10.1080/19475683.2018.1450786.

AU YEUNG, C. & LI, R. 2018. Comparison of vegetation regeneration after wildfire between Mediterranean and tundra ecosystems by using Landsat images. Annals of GIS, 24, 99-112. https://doi.org/10.1080/19475683.2018.1424740.

TAJFIROOZ, B., ARABSHEIBANI, R. & BEHNIA, S. 2018. GIS-based seamless tide prediction framework in the Persian Gulf. Annals of GIS, 24, 139-150. https://doi.org/10.1080/19475683.2018.1424733.

TIAN, Q., JIANG, L., LEMOS, M. & QI, S. 2018. Interactions of social, natural, and technological subsystems and synergy between development and adaptation to floods around Poyang Lake. Annals of GIS, 24, 209-220.  https://doi.org/10.1080/19475683.2018.1471520.

ZHU, A. X., LU, G., LIU, J., QIN, C. Z. & ZHOU, C. 2018. Spatial prediction based on Third Law of Geography. Annals of GIS, 24, 225-240. https://doi.org/10.1080/19475683.2018.1534890.

RAY, L. K. 2018. Limitation of automatic watershed delineation tools in coastal region. Annals of GIS, 24, 261-274. https://doi.org/10.1080/19475683.2018.1526212.

TAO, H., LI, M., WANG, M. & L , G. 2019. Genetic algorithm-based method for forest type classification using multi-temporal NDVI from Landsat TM imagery. Annals of GIS, 25, 33-43. https://doi.org/10.1080/19475683.2018.1552621.

WAN, L., ZHANG, H., LIN, G. & LIN, H. 2019. A small-patched convolutional neural network for mangrove mapping at species level using high-resolution remote-sensing image. Annals of GIS, 25, 45-55. https://doi.org/10.1080/19475683.2018.1564791.

WU, C.-Y., MOSSA, J., MAO, L. & ALMULLA, M. 2019. Comparison of different spatial interpolation methods for historical hydrographic data of the lowermost Mississippi River. Annals of GIS, 25, 133-151. https://doi.org/10.1080/19475683.2019.1588781.

CHRIPS, N. R., RAZAFINDRABE, B. H. N., WILLIAMS, B. C. & VINOD, R. T. 2019. A GIS-based study on the estimation of fixed atmospheric CO2 in tropical tree biomass from Neyyar Wildlife Sanctuary, South India. Annals of GIS, 25, 337-346. https://doi.org/10.1080/19475683.2019.1664632.


10 GIS 在社会和历史方面的应用 GIS in social and historical research

CAO, Y. & ZHANG, Y. 2018. Efficient space and resource planning strategies: treelike fractal traffic networks of the Ming Great Wall Military Defence System. Annals of GIS, 24, 47-58. https://doi.org/10.1080/19475683.2018.1424735.

GHAEDRAHMATI, S., KHADEMALHOOSINI, A. & TAHMASEBI, F. 2018. Spatial analysis of social justice in city of Isfahan, Iran. Annals of GIS, 24, 59-69.  https://doi.org/10.1080/19475683.2018.1424732.

WANG, L. 2018. Spatial analysis of the Great Wall Ji Town military settlements in the Ming Dynasty: research and conservation. Annals of GIS, 24, 71-81. https://doi.org/10.1080/19475683.2018.1458750.

ZEINI, N. T., ABDEL-HAMID, A. M., SOLIMAN, A. S. & OKASHA, A. E. 2018. An exploratory study of place-names in Sinai Peninsula, Egypt: a spatial approach. Annals of GIS, 24, 177-194. https://doi.org/10.1080/19475683.2018.1501759.

AMIDI, S. & FAGHEH MAJIDI, A. 2020. Geographic proximity, trade and economic growth: a spatial econometrics approach. Annals of GIS, 26, 49-63.  https://doi.org/10.1080/19475683.2020.1714727.


11 GIS在土地利用与变化方面的应用 GIS in land use and land cover change

ZHAI, R., ZHANG, C., ALLEN, J. M., LI, W., BOYER, M. A., SEGERSON, K. & FOOTE, K. E. 2018. Predicting land use/cover change in Long Island Sound Watersheds and its effect on invasive species: a case study for glossy buckthorn. Annals of GIS, 24, 83-97. https://doi.org/10.1080/19475683.2018.1450786.

RAFIQ, M., MISHRA, A. K. & MEER, M. S. 2018. On land-use and land-cover changes over Lidder Valley in changing environment. Annals of GIS, 24, 275-285. https://doi.org/10.1080/19475683.2018.1520300.

ARSHAD, A., ZHANG, W., ZAMAN, M. A., DILAWAR, A. & SAJID, Z. 2019. Monitoring the impacts of spatio-temporal land-use changes on the regional climate of city Faisalabad, Pakistan. Annals of GIS, 25, 57-70. https://doi.org/10.1080/19475683.2018.1543205.

 

12 GIS在城市和区域分析方面的应用 GIS in urban and regional analysis

JABER, S. M. 2018. Landsat-based vegetation abundance and surface temperature for surface urban heat island studies: the tale of Greater Amman Municipality. Annals of GIS, 24, 195-208. https://doi.org/10.1080/19475683.2018.1471519.

ARSHAD, A., ZHANG, W., ZAMAN, M. A., DILAWAR, A. & SAJID, Z. 2019. Monitoring the impacts of spatio-temporal land-use changes on the regional climate of city Faisalabad, Pakistan. Annals of GIS, 25, 57-70. https://doi.org/10.1080/19475683.2018.1543205.

REJEB BOUZGARROU, A., CLARAMUNT, C. & REJEB, H. 2019. Visualizing urban sprawl effects of a Tunisian city: a new urban spatial configuration of Monastir. Annals of GIS, 25, 71-82. https://doi.org/10.1080/19475683.2018.1557252.

KALINIC, M. & KRISP, J. M. 2019. Fuzzy inference approach in traffic congestion detection. Annals of GIS, 25, 329-336. https://doi.org/10.1080/19475683.2019.1675760.




http://blog.sciencenet.cn/blog-56730-1230660.html


下一篇:地学文献阅读题要8篇

2 任国鹏 汤茂林

该博文允许注册用户评论 请点击登录 评论 (1 个评论)

数据加载中...
扫一扫,分享此博文

全部作者的其他最新博文

Archiver|手机版|科学网 ( 京ICP备07017567号-12 )

GMT+8, 2020-9-19 23:20

Powered by ScienceNet.cn

Copyright © 2007- 中国科学报社

返回顶部