دانلود کتاب یادگیری QGIS، ویرایش پنجم، تکنیک‌هایی برای تحلیل مکانی کارآمد

QGIS has become one of the most popular platforms for working with spatial data. It is widely used in environmental studies, urban planning, education, business, and satellite data analysis. This book is written for those who want to get hands-on with QGIS, whether you’re just beginning your GIS journey or looking to build a stronger foundation through practical, real world examples and data. We begin with the basics: how to install QGIS, load various types of vector and raster data, and understand the structure of spatial layers. From there, we move through map styling and visualization techniques, exploring symbology, labeling, and map layout design. A full chapter is dedicated to commonly-used map types, where we introduce the cartographic principles behind thematic maps, such as choropleths, dot density maps, and proportional symbol maps. Once the fundamentals are in place, we go deeper into spatial analysis. First, you can explore environmental applications (for example, land cover, buffering protected areas, and overlaying biodiversity zones), then dive into socioeconomic contexts, such as analyzing accessibility or population density per neighborhood. We explore how to use commonly-used tools such as count points in polygon, sum line lengths, isochrones, and others by using openly available datasets. The book also introduces Earth observation data in an accessible way, covering how to access and work with satellite imagery from programs such as Copernicus and Landsat, and how to apply basic classification or spectral analysis inside QGIS using plugins such as the Semi-Automatic Classification Plugin ( SCP ). Because working with data comes with responsibilities, we dedicate an entire chapter to data security and ethical considerations, helping you learn how to handle sensitive information and understand licensing, metadata, and good data practices. At the end, we take a look at the emerging role of artificial intelligence in GIS. Here, we introduce how AI can assist with spatial workflows, generate code, and help users explore GIS concepts through conversation—offering a glimpse into the future of geospatial technologies. This book is based on the latest QGIS Long-Term Release ( LTR ) version at the time of writing. The content has been designed to support both classroom instruction and self-paced learning. While we focus on core functionality and open data, the principles are transferable to more advanced GIS work and scalable projects. Whether you’re a student, educator, environmental analyst, urban planner, or simply a map enthusiast, this book will help you gain practical skills and confidence in using one of the most powerful free and open source GIS tools available today.