{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T06:07:01Z","timestamp":1776233221048,"version":"3.50.1"},"publisher-location":"Cham","reference-count":49,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031769054","type":"print"},{"value":"9783031769061","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-76906-1_6","type":"book-chapter","created":{"date-parts":[[2024,12,21]],"date-time":"2024-12-21T09:02:43Z","timestamp":1734771763000},"page":"73-85","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Innovations in Spatial Analysis: The Impact of GIS and Python in Knowledge Societies"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1738-2677","authenticated-orcid":false,"given":"Eric","family":"Vaz","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,22]]},"reference":[{"key":"6_CR1","first-page":"35","volume":"22","author":"H Adam","year":"2021","unstructured":"Adam, H., & Janowicz, K. (2021). The role of open source software in the development of the geospatial semantic web. Journal of Spatial Information Science, 22, 35\u201373.","journal-title":"Journal of Spatial Information Science"},{"issue":"6","key":"6_CR2","first-page":"1266","volume":"33","author":"K Bhattarai","year":"2019","unstructured":"Bhattarai, K., & Scheider, S. (2019). A comprehensive study of OGC-compliant open source geospatial software. International Journal of Geographical Information Science, 33(6), 1266\u20131293.","journal-title":"International Journal of Geographical Information Science"},{"issue":"57","key":"6_CR3","first-page":"3024","volume":"6","author":"J B\u00f6hner","year":"2021","unstructured":"B\u00f6hner, J., McCloy, K. R., & Strobl, J. (2021). pySpatialTools: A Python package for spatial data handling and analysis. Journal of Open Source Software, 6(57), 3024.","journal-title":"Journal of Open Source Software"},{"issue":"4","key":"6_CR4","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1111\/j.1467-9671.2010.01212.x","volume":"14","author":"R Devillers","year":"2010","unstructured":"Devillers, R., Stein, A., Bedard, Y., Chrisman, N., Fisher, P., & Shi, W. (2010). Thirty years of research on spatial data quality: Achievements, failures, and opportunities. Transactions in GIS, 14(4), 387\u2013400.","journal-title":"Transactions in GIS"},{"issue":"50","key":"6_CR5","first-page":"2016","volume":"5","author":"Y Dou","year":"2020","unstructured":"Dou, Y., Liu, Y., & Wang, Y. (2020). PyTorch-geometric-temporal: Spatiotemporal signal processing with PyTorch geometric. Journal of Open Source Software, 5(50), 2016.","journal-title":"Journal of Open Source Software"},{"issue":"1","key":"6_CR6","first-page":"1","volume":"10","author":"A Eldawy","year":"2015","unstructured":"Eldawy, A., & Mokbel, M. F. (2015). The era of big spatial data: A survey. Frontiers of Computer Science, 10(1), 1\u201324.","journal-title":"Frontiers of Computer Science"},{"issue":"4","key":"6_CR7","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s10708-007-9111-y","volume":"69","author":"MF Goodchild","year":"2007","unstructured":"Goodchild, M. F. (2007). Citizens as sensors: the world of volunteered geography. GeoJournal, 69(4), 211\u2013221.","journal-title":"GeoJournal"},{"issue":"6","key":"6_CR8","first-page":"455","volume":"34","author":"MF Goodchild","year":"2010","unstructured":"Goodchild, M. F. (2010). Twenty years on: the state of GIScience in 2010. Computers, Environment and Urban Systems, 34(6), 455\u2013459.","journal-title":"Computers, Environment and Urban Systems"},{"issue":"11","key":"6_CR9","first-page":"8016","volume":"58","author":"KE Griggs","year":"2020","unstructured":"Griggs, K. E., Kelleher, K. E., & van den Hengel, A. (2020). Geospatial deep learning: A review and taxonomy. IEEE Transactions on Geoscience and Remote Sensing, 58(11), 8016\u20138043.","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"6_CR10","unstructured":"Grus, J. (2018). Data science from scratch: First principles with Python. O'Reilly Media, Inc."},{"issue":"2","key":"6_CR11","first-page":"503","volume":"51","author":"M G\u00fcnther","year":"2019","unstructured":"G\u00fcnther, M., & Fritsch, D. (2019). Employing a mixed-methods approach for the evaluation of digital reference services. Journal of Librarianship and Information Science, 51(2), 503\u2013519.","journal-title":"Journal of Librarianship and Information Science"},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Hagberg, A. A., Schult, D. A., & Swart, P. J. (2008). Exploring network structure, dynamics, and function using NetworkX. In Proceedings of the 7th Python in Science Conference (pp. 11\u201315).","DOI":"10.25080\/TCWV9851"},{"key":"6_CR13","doi-asserted-by":"crossref","unstructured":"Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., ... & Oliphant, T. E. (2020). Array programming with NumPy. Nature, 585(7825), 357\u2013362.","DOI":"10.1038\/s41586-020-2649-2"},{"issue":"9","key":"6_CR14","first-page":"571","volume":"10","author":"YK Hsu","year":"2021","unstructured":"Hsu, Y. K., Lai, Y. T., Chen, C. H., & Chiu, P. H. (2021). Python-based analytical methods for geospatial big data. ISPRS International Journal of Geo-Information, 10(9), 571.","journal-title":"ISPRS International Journal of Geo-Information"},{"key":"6_CR15","first-page":"49","volume":"20","author":"K Janowicz","year":"2020","unstructured":"Janowicz, K., Hitzler, P., & Lefran\u00e7ois, M. (2020). Geospatial semantic web: Evolution, current state, and future directions. Journal of Spatial Information Science, 20, 49\u201399.","journal-title":"Journal of Spatial Information Science"},{"issue":"2","key":"6_CR16","first-page":"28","volume":"16","author":"E Jones","year":"2014","unstructured":"Jones, E., Oliphant, T., & Peterson, P. (2014). SciPy: Open source scientific tools for Python. Computing in Science & Engineering, 16(2), 28\u201333.","journal-title":"Computing in Science & Engineering"},{"key":"6_CR17","first-page":"87","volume-title":"Jupyter notebooks\u2014a publishing format for reproducible computational workflows","author":"Jupyter.","year":"2016","unstructured":"Jupyter. (2016). Jupyter notebooks\u2014a publishing format for reproducible computational workflows. Positioning and Power in Academic Publishing: Players, Agents and Agendas, 87."},{"key":"6_CR18","unstructured":"Keen, J. (2020). Harnessing the power of Google BigQuery. O'Reilly Media, Inc."},{"issue":"28","key":"6_CR19","first-page":"918","volume":"3","author":"M Klein","year":"2018","unstructured":"Klein, M. (2018). Exploring patterns in GitHub repositories: a method for summarizing software ecosystems. Journal of Open Source Software, 3(28), 918.","journal-title":"Journal of Open Source Software"},{"issue":"60","key":"6_CR20","first-page":"3026","volume":"6","author":"M Kuhn","year":"2021","unstructured":"Kuhn, M., & Ballatore, A. (2021). Geopandas: Python tools for geographic data. Journal of Open Source Software, 6(60), 3026.","journal-title":"Journal of Open Source Software"},{"key":"6_CR21","unstructured":"Li, H., Wang, X., & Sun, Z. (2021). Geospatial information services for disaster risk management: A systematic review. Journal of Cleaner Production, 279, 123461."},{"key":"6_CR22","unstructured":"Li, X., Chen, Y., & Zhang, J. (2021). Multi-scale Fusion Based Deep Learning Framework for Feature Extraction and Classification of Remote Sensing Images. Remote Sensing, 13(16), 3159."},{"key":"6_CR23","volume":"133","author":"W Lieberman","year":"2019","unstructured":"Lieberman, W., & Goodchild, M. F. (2019). Using Python for metadata management in support of Big Earth Data science. Computers & Geosciences, 133, 104289.","journal-title":"Computers & Geosciences"},{"key":"6_CR24","unstructured":"Longley, P. A., & Batty, M. (2003). Advanced spatial analysis: the CASA book of GIS. ESRI Press."},{"issue":"3","key":"6_CR25","first-page":"409","volume":"21","author":"D Martin","year":"1996","unstructured":"Martin, D., & Hillier, B. (1996). The structure of the urban system. Transactions of the Institute of British Geographers, 21(3), 409\u2013431.","journal-title":"Transactions of the Institute of British Geographers"},{"key":"6_CR26","doi-asserted-by":"crossref","unstructured":"McFee, B., & Battenberg, E. (2019). librosa: Audio and music signal analysis in Python. In Proceedings of the 14th Python in Science Conference, 18\u201325.","DOI":"10.25080\/Majora-7b98e3ed-003"},{"key":"6_CR27","doi-asserted-by":"crossref","unstructured":"McKinney, W. (2010). Data structures for statistical computing in Python. Proceedings of the 9th Python in Science Conference, 56\u201361.","DOI":"10.25080\/Majora-92bf1922-00a"},{"key":"6_CR28","unstructured":"McKinney, W., & others. (2011). pandas: a foundational Python library for data analysis and statistics. Python for High Performance and Scientific Computing, 1\u20139."},{"issue":"7","key":"6_CR29","first-page":"1870","volume":"28","author":"EK Melaas","year":"2018","unstructured":"Melaas, E. K., Friedl, M. A., & Richardson, A. D. (2018). Geospatial big data and machine learning in remote sensing: A review. Ecological Applications, 28(7), 1870\u20131887.","journal-title":"Ecological Applications"},{"issue":"1","key":"6_CR30","first-page":"62","volume":"25","author":"RD Mueller","year":"2021","unstructured":"Mueller, R. D., & Behr, S. (2021). Integration of multidimensional geospatial data from IoT devices with the spatial data infrastructure: a review. Transactions in GIS, 25(1), 62\u201387.","journal-title":"Transactions in GIS"},{"issue":"1","key":"6_CR31","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1559\/152304095782540555","volume":"22","author":"TL Nyerges","year":"1995","unstructured":"Nyerges, T. L., Couclelis, H., & McMaster, R. B. (1995). GIS and society: toward a research agenda. Cartography and Geographic Information Systems, 22(1), 5\u201316.","journal-title":"Cartography and Geographic Information Systems"},{"key":"6_CR32","unstructured":"Openshaw, S. (1984). The modifiable areal unit problem. Concepts and Techniques in Modern Geography, 38\u201350."},{"key":"6_CR33","unstructured":"Osborne, P. A. (2007). Introducing the PostGIS spatial database. In Free and open source software for geospatial (FOSS4G) conference. Victoria, British Columbia, Canada."},{"issue":"5","key":"6_CR34","first-page":"394","volume":"8","author":"AC Parnell","year":"2015","unstructured":"Parnell, A. C., Garside, R., Williams, P. H., & Gaston, K. J. (2015). Opening up on open-access: A survey of Arthropod Conservation biology practitioners in the UK. Insect Conservation and Diversity, 8(5), 394\u2013400.","journal-title":"Insect Conservation and Diversity"},{"key":"6_CR35","doi-asserted-by":"crossref","unstructured":"Perez-Riverol, Y., Gatto, L., Wang, R., Sachsenberg, T., Uszkoreit, J., Leprevost, F. da V., ... & Vizca\u00edno, J. A. (2016). Ten simple rules for taking advantage of Git and GitHub. PLoS Computational Biology, 12(7), e1004947.","DOI":"10.1371\/journal.pcbi.1004947"},{"key":"6_CR36","first-page":"257","volume":"130","author":"B Radosavljevic","year":"2017","unstructured":"Radosavljevic, B., & Lai, X. (2017). Deep learning approach for geospatial object detection and classification from imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 257\u2013268.","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"key":"6_CR37","volume":"77","author":"MR Rehak","year":"2019","unstructured":"Rehak, M. R., & Blaschke, T. (2019). Python scripting in GIS: A review of approaches and opportunities. Computers, Environment and Urban Systems, 77, 101356.","journal-title":"Computers, Environment and Urban Systems"},{"issue":"7743","key":"6_CR38","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1038\/s41586-019-0912-1","volume":"566","author":"M Reichstein","year":"2019","unstructured":"Reichstein, M., Camps-Valls, G., Stevens, B., Jung, M., Denzler, J., Carvalhais, N., & Prabhat. (2019). Deep learning and process understanding for data-driven Earth system science. Nature, 566(7743), 195\u2013204.","journal-title":"Nature"},{"issue":"1","key":"6_CR39","doi-asserted-by":"publisher","first-page":"5","DOI":"10.52324\/001c.8285","volume":"37","author":"SJ Rey","year":"2007","unstructured":"Rey, S. J., & Anselin, L. (2007). PySAL: A Python library of spatial analytical methods. The Review of Regional Studies, 37(1), 5\u201327.","journal-title":"The Review of Regional Studies"},{"issue":"56","key":"6_CR40","first-page":"2964","volume":"6","author":"S Roy","year":"2021","unstructured":"Roy, S., & Banerjee, S. (2021). Pandas-gbq: Google BigQuery support for Pandas DataFrame. Journal of Open Source Software, 6(56), 2964.","journal-title":"Journal of Open Source Software"},{"key":"6_CR41","first-page":"385","volume":"73","author":"A Saeed","year":"2018","unstructured":"Saeed, A., McDougall, K., & Rehman, S. U. (2018). A geospatial database management system for managing, mapping, and analyzing big spatial data. International Journal of Applied Earth Observation and Geoinformation, 73, 385\u2013395.","journal-title":"International Journal of Applied Earth Observation and Geoinformation"},{"issue":"6","key":"6_CR42","first-page":"1856","volume":"21","author":"C Schl\u00f6tterer","year":"2021","unstructured":"Schl\u00f6tterer, C., Tobler, R., & Kofler, R. (2021). Benchmarking software packages for detecting population structure. Molecular Ecology Resources, 21(6), 1856\u20131870.","journal-title":"Molecular Ecology Resources"},{"issue":"4","key":"6_CR43","first-page":"421","volume":"49","author":"T Smith","year":"2017","unstructured":"Smith, T., & Goodchild, M. F. (2017). Python for geographic information analysis. Geographical Analysis, 49(4), 421\u2013437.","journal-title":"Geographical Analysis"},{"issue":"6","key":"6_CR44","first-page":"2056","volume":"41","author":"SV Stehman","year":"2020","unstructured":"Stehman, S. V., Foody, G. M., & Pengra, B. (2020). Assessment of the performance of remote sensing software for land cover classification using open source data. International Journal of Remote Sensing, 41(6), 2056\u20132078.","journal-title":"International Journal of Remote Sensing"},{"issue":"4","key":"6_CR45","first-page":"387","volume":"33","author":"HH Titi","year":"2021","unstructured":"Titi, H. H. (2021). An overview of computational fluid dynamics techniques in laminar flow problems. Journal of King Saud University-Engineering Sciences, 33(4), 387\u2013397.","journal-title":"Journal of King Saud University-Engineering Sciences"},{"key":"6_CR46","doi-asserted-by":"crossref","unstructured":"van der Walt, S. (2019). Scientific Python: A Mature Computational Ecosystem for Microscopy. Microscopy and\nMicroanalysis, 25(S2), 132\u2013133.","DOI":"10.1017\/S1431927619001399"},{"key":"6_CR47","doi-asserted-by":"crossref","unstructured":"Vaz, E., Zhao, Y., & Cusimano, M. (2016). Urban habitats and the injury landscape. Habitat International, 56, 52\u201362.","DOI":"10.1016\/j.habitatint.2016.04.006"},{"issue":"1","key":"6_CR48","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/19475683.2019.1702099","volume":"26","author":"F Wang","year":"2020","unstructured":"Wang, F. (2020). Why public health needs GIS: a methodological overview.\u00a0Annals of GIS,\u00a026(1), 1\u201312.","journal-title":"Annals of GIS"},{"key":"6_CR49","unstructured":"Yang, J., Jin, B., & Wu, W. (2019). Big data computing for smart city. In Handbook of Smart Cities (pp. 109\u2013131). Springer, Cham."}],"container-title":["Regional Knowledge Economies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-76906-1_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,21]],"date-time":"2024-12-21T10:03:08Z","timestamp":1734775388000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-76906-1_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031769054","9783031769061"],"references-count":49,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-76906-1_6","relation":{},"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"22 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}