Hands-On Geospatial Analysis with R and QGIS 3.4 [Video] [2019, ENG]
Year of issue: 2019
Manufacturer: packt
Manufacturer website: packtpub.com
Author: Jane Wang
Duration: 2:11:00
Handout Type: Video Tutorial
English language
Описание: Создавайте профессиональные и интерактивные геопространственные и картографические проекты, используя передовые технологии с открытым исходным кодом.
Create professional and interactive geospatial and cartographic projects using an advanced free and open-source technology.
Integrating geospatial data science and traditional cartographic methods is in demand for modern geospatial analysts. In an age of flourishing data products, having a working proficiency with QGIS and R is an added advantage to every analyst.
This course introduces you to the full workflow, ranging from acquiring data, data wrangling, and analysis to outputting and publishing visualization products. We touch on a variety of datasets (including remote-sensing data and techniques) and incorporate machine learning in QGIS analytical steps. We further investigate geospatial analysis using the most up-to-date R packages, such as ggplot2, raster, sf, Leaflet, and Shiny.
By the end of the course, you will be able to produce interactive maps and professional cartographic products, deploy them as a Shiny application, and critique a variety of end-results.
The code bundle for this video course is available at - https://github.com/PacktPublishing/H...R-and-QGIS-3.4
Size: 568MB
Download
https://s9.alxa.net/0abc1/xyza/Hands-....3.4.Video.rar
Year of issue: 2019
Manufacturer: packt
Manufacturer website: packtpub.com
Author: Jane Wang
Duration: 2:11:00
Handout Type: Video Tutorial
English language
Описание: Создавайте профессиональные и интерактивные геопространственные и картографические проекты, используя передовые технологии с открытым исходным кодом.
Create professional and interactive geospatial and cartographic projects using an advanced free and open-source technology.
Integrating geospatial data science and traditional cartographic methods is in demand for modern geospatial analysts. In an age of flourishing data products, having a working proficiency with QGIS and R is an added advantage to every analyst.
This course introduces you to the full workflow, ranging from acquiring data, data wrangling, and analysis to outputting and publishing visualization products. We touch on a variety of datasets (including remote-sensing data and techniques) and incorporate machine learning in QGIS analytical steps. We further investigate geospatial analysis using the most up-to-date R packages, such as ggplot2, raster, sf, Leaflet, and Shiny.
By the end of the course, you will be able to produce interactive maps and professional cartographic products, deploy them as a Shiny application, and critique a variety of end-results.
The code bundle for this video course is available at - https://github.com/PacktPublishing/H...R-and-QGIS-3.4
Size: 568MB
Download
https://s9.alxa.net/0abc1/xyza/Hands-....3.4.Video.rar