Abstract
Bu maqolada, web texnologiyalari yordamida GIS ma'lumotlarini taqdim etishga oid muhim masalalar keltiriladi. GIS ma'lumotlari, xaritalar va geografik ma'lumotlar internetda muvaffaqiyatli yoritilish uchun bir qator vositalardan foydalaniladi. Ushbu maqolada, OpenLayers va Leaflet kabi ochiq kodli web-xaritalash dasturlari haqida ma'lumotlar, GeoServer kabi GIS serverlar va PostGIS kabi GIS ma'lumotlarini qayta ishlash uchun ma’lumotlar keltirildi.
References
1. Tomlinson, R. F. (2010). Thinking about GIS: Geographic information system planning for managers (5th ed.). Redlands, Calif: ESRI Press.
2. Harder, C., & Ormsby, T. (2015). Getting to know ArcGIS. Redlands, Calif: Esri Press.
3. Yang, B. (2018). Python and R for GIS. Boca Raton: CRC Press.
4. Brown, W. M., & Rycroft, D. W. (2018). Open Source Approaches to Spatial Data Handling. New York: Springer.
5. Obe, R., & Hsu, L. (2017). PostGIS in Action (2nd ed.). Shelter Island, NY: Manning Publications.
6. Cao, W. (2019). Geospatial data science techniques and applications. Boca Raton: CRC Press.
7. Deblois, J. (2019). GeoServer Beginner's Guide - Second Edition. Birmingham: Packt Publishing.
8. Bennett, J. (2017). Learning Geospatial Analysis with Python. Birmingham: Packt Publishing.
9. Allemang, C. (2015). Leaflet.js Essentials. Birmingham: Packt Publishing.
10. Gandrud, C. (2013). Reproducible Research with R and RStudio. New York: CRC Press.
11. Kuhn, M., & Johnson, K. (2013). Applied Predictive Modeling York: Springer.
This work is licensed under a Creative Commons Attribution 4.0 International License.