Pub Date : 2022-09-30DOI: 10.1080/14498596.2022.2127951
R. Crespo, D. Manuschevich, María José Parra, Fernando A. Crespo
{"title":"Using spatial autologistic regression for predicting urban growth","authors":"R. Crespo, D. Manuschevich, María José Parra, Fernando A. Crespo","doi":"10.1080/14498596.2022.2127951","DOIUrl":"https://doi.org/10.1080/14498596.2022.2127951","url":null,"abstract":"","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44726360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-26DOI: 10.1080/14498596.2022.2125095
Qingfeng Guan, J. Zhou, Ruifan Wang, Yao Yao, Chen Qian, Yaqian Zhai, Shuliang Ren
{"title":"Understanding China’s urban functional patterns at the county scale by using time-series social media data","authors":"Qingfeng Guan, J. Zhou, Ruifan Wang, Yao Yao, Chen Qian, Yaqian Zhai, Shuliang Ren","doi":"10.1080/14498596.2022.2125095","DOIUrl":"https://doi.org/10.1080/14498596.2022.2125095","url":null,"abstract":"","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41678849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-29DOI: 10.1080/14498596.2022.2107804
G. Wright
The Journal of Spatial Science makes an annual award for Best Research Paper published in the Journal over the previous 12 months. For 2022, the Editorial Board and Taylor & Francis Group are pleased to support this award for the following paper: V. Cerutti, C. Bellman, A. Both, M. Duckham, B. Jenny, R. L. G. Lemmens & F. O. Ostermann (2021) Improving the reproducibility of geospatial scientific workflows: the use of geosocial media in facilitating disaster response, Journal of Spatial Science, 66:3, 383-400, doi.org/10.1080/14498596.2019.1654944 The Award comprises a certificate and a cheque for AUD1000. Congratulations to our authors and their biographies follow.
{"title":"Best Research Paper Award 2022","authors":"G. Wright","doi":"10.1080/14498596.2022.2107804","DOIUrl":"https://doi.org/10.1080/14498596.2022.2107804","url":null,"abstract":"The Journal of Spatial Science makes an annual award for Best Research Paper published in the Journal over the previous 12 months. For 2022, the Editorial Board and Taylor & Francis Group are pleased to support this award for the following paper: V. Cerutti, C. Bellman, A. Both, M. Duckham, B. Jenny, R. L. G. Lemmens & F. O. Ostermann (2021) Improving the reproducibility of geospatial scientific workflows: the use of geosocial media in facilitating disaster response, Journal of Spatial Science, 66:3, 383-400, doi.org/10.1080/14498596.2019.1654944 The Award comprises a certificate and a cheque for AUD1000. Congratulations to our authors and their biographies follow.","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"67 1","pages":"537 - 540"},"PeriodicalIF":1.9,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43828542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-29DOI: 10.1080/14498596.2022.2107803
G. Wright
The September 2022 issue of the Journal of Spatial Science is always an important issue as it includes announcement of the winner of the Best Research Paper Award made by the Journal of Spatial Science Editorial Board. The award is made annually based upon peer reviewed research and review papers published in the twelvemonth period from 1 July 2021 to 30 June 2022. Details of the Award are contained in this issue. Once again, it comes time to farewell one of our valued members of the Editorial Board. Dr Florence Tupin, Professor at Télécom Paris, has served on the Editorial Board of the Journal of Spatial Science for several years and has contributed her expertise to peer review of many submissions in her field. Dr Tupin’s dedication to quality and inciteful approach to peer review and manuscript development is greatly appreciated. Impact factors for 2021 have also been released with the Journal of Spatial Science maintaining a steady impact factor of 1.840 accompanied by an improvement to Q3 in the Geography, physical category. Thank you for the support provided by our authors, subscribers and Editorial Board Members. Papers published in this issue provide interesting insights into current research and practice in the spatial sciences. Polyconic map projections are rarely used for world maps because traditional polyconic mappings do not have a favourable distortion pattern. This paper by Kerkovits demonstrates that the generalised versions of these projections can be adjusted well for global maps. The formulae are optimised numerically to ensure that the projections have as low distortion as possible. Furthermore, optimal polyconic mappings with further restrictions (e.g. rectangular graticules, equal-area) are also developed. Jouybari, Bagherbandi and Nilfouroushan use three different procedures to analyse the effect of IMU and GNSS uncertainties on their final adjusted results. The outcome suggests that the method of block-wise GNSS shift correction is a better method for aerial triangulation. A comparison of checkpoint RMS residuals shows that the block-wise solution is on average 6 cm more accurate than the strip-wise solution. Rosas and colleagues evaluated the use of low-cost materials for radiometric calibration of multispectral images. Four materials were tested: plywood panels painted with matte paint; plywood panels covered with synthetic nappa leather; ethylene vinyl acetate panels, and plywood panels covered with polyvinyl chloride canvas. The useful life of all materials and errors associated with their calibration were determined. The standard algorithm for generating nearest-neighbour models determines the distance between every pair of nodes, resulting in quadratic running time. Such time complexity is common among spatial problems and impedes the generation of larger JOURNAL OF SPATIAL SCIENCE 2022, VOL. 67, NO. 3, 355–357 https://doi.org/10.1080/14498596.2022.2107803
{"title":"Editorial","authors":"G. Wright","doi":"10.1080/14498596.2022.2107803","DOIUrl":"https://doi.org/10.1080/14498596.2022.2107803","url":null,"abstract":"The September 2022 issue of the Journal of Spatial Science is always an important issue as it includes announcement of the winner of the Best Research Paper Award made by the Journal of Spatial Science Editorial Board. The award is made annually based upon peer reviewed research and review papers published in the twelvemonth period from 1 July 2021 to 30 June 2022. Details of the Award are contained in this issue. Once again, it comes time to farewell one of our valued members of the Editorial Board. Dr Florence Tupin, Professor at Télécom Paris, has served on the Editorial Board of the Journal of Spatial Science for several years and has contributed her expertise to peer review of many submissions in her field. Dr Tupin’s dedication to quality and inciteful approach to peer review and manuscript development is greatly appreciated. Impact factors for 2021 have also been released with the Journal of Spatial Science maintaining a steady impact factor of 1.840 accompanied by an improvement to Q3 in the Geography, physical category. Thank you for the support provided by our authors, subscribers and Editorial Board Members. Papers published in this issue provide interesting insights into current research and practice in the spatial sciences. Polyconic map projections are rarely used for world maps because traditional polyconic mappings do not have a favourable distortion pattern. This paper by Kerkovits demonstrates that the generalised versions of these projections can be adjusted well for global maps. The formulae are optimised numerically to ensure that the projections have as low distortion as possible. Furthermore, optimal polyconic mappings with further restrictions (e.g. rectangular graticules, equal-area) are also developed. Jouybari, Bagherbandi and Nilfouroushan use three different procedures to analyse the effect of IMU and GNSS uncertainties on their final adjusted results. The outcome suggests that the method of block-wise GNSS shift correction is a better method for aerial triangulation. A comparison of checkpoint RMS residuals shows that the block-wise solution is on average 6 cm more accurate than the strip-wise solution. Rosas and colleagues evaluated the use of low-cost materials for radiometric calibration of multispectral images. Four materials were tested: plywood panels painted with matte paint; plywood panels covered with synthetic nappa leather; ethylene vinyl acetate panels, and plywood panels covered with polyvinyl chloride canvas. The useful life of all materials and errors associated with their calibration were determined. The standard algorithm for generating nearest-neighbour models determines the distance between every pair of nodes, resulting in quadratic running time. Such time complexity is common among spatial problems and impedes the generation of larger JOURNAL OF SPATIAL SCIENCE 2022, VOL. 67, NO. 3, 355–357 https://doi.org/10.1080/14498596.2022.2107803","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"67 1","pages":"355 - 357"},"PeriodicalIF":1.9,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47905531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-12DOI: 10.1080/14498596.2022.2097962
Shirin Hassanzadeh, H. Danyali, M. Helfroush
{"title":"Hyperspectral images classification based on multiple kernel learning using SWT and KMNF with few training samples","authors":"Shirin Hassanzadeh, H. Danyali, M. Helfroush","doi":"10.1080/14498596.2022.2097962","DOIUrl":"https://doi.org/10.1080/14498596.2022.2097962","url":null,"abstract":"","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47977469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-26DOI: 10.1080/14498596.2022.2074902
Ayasha Siddiqa, R. Islam, M. I. Afjal
{"title":"Spectral segmentation based dimension reduction for hyperspectral image classification","authors":"Ayasha Siddiqa, R. Islam, M. I. Afjal","doi":"10.1080/14498596.2022.2074902","DOIUrl":"https://doi.org/10.1080/14498596.2022.2074902","url":null,"abstract":"","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"1 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59935146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-13DOI: 10.1080/14498596.2022.2066579
Yousef Ghobadiha, H. Motieyan
{"title":"Urban growth modelling in Qazvin, Iran: an investigation into the performance of three ANFIS methods","authors":"Yousef Ghobadiha, H. Motieyan","doi":"10.1080/14498596.2022.2066579","DOIUrl":"https://doi.org/10.1080/14498596.2022.2066579","url":null,"abstract":"","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43516192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-11DOI: 10.1080/14498596.2022.2059023
Guoqi Liu, Manqi Zhao, Lu Bai, Hecang Zang, Baofang Chang
ABSTRACT Nowdays, many methods based on CNN have been proposed for road extraction. However, there are still great challenges. Therefore, according to image characteristics, this paper made corresponding improvements based on medical segmentation network PraNet. First, the reverse attention module (RA) connected at the last layer of PraNet is changed to the positive attention module (PA). Then, the negative matrix L1 norm regularization is added into the loss function. We conducted experiments on a data set made by UAV in the field of Henan Academy of Agricultural Sciences. The results show that the proposed method is better than the comparison models.
{"title":"Field road segmentation network based on PraNet","authors":"Guoqi Liu, Manqi Zhao, Lu Bai, Hecang Zang, Baofang Chang","doi":"10.1080/14498596.2022.2059023","DOIUrl":"https://doi.org/10.1080/14498596.2022.2059023","url":null,"abstract":"ABSTRACT Nowdays, many methods based on CNN have been proposed for road extraction. However, there are still great challenges. Therefore, according to image characteristics, this paper made corresponding improvements based on medical segmentation network PraNet. First, the reverse attention module (RA) connected at the last layer of PraNet is changed to the positive attention module (PA). Then, the negative matrix L1 norm regularization is added into the loss function. We conducted experiments on a data set made by UAV in the field of Henan Academy of Agricultural Sciences. The results show that the proposed method is better than the comparison models.","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"68 1","pages":"505 - 520"},"PeriodicalIF":1.9,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46504130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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