Also, is it possible to have two map books on one layout? We have 2D and 3D buildings we would want to run this on. OR is there a way to sync the 2D and 3D views? This was not a capability in ESRI when it came to the layout only while viewing.
I'm a physics student it's my last year and I find my self struggling with usage of quantum mechanics. Now I'm starting to learn nuclear physics, solid state physics and soon quantum field theory and I see that I have holes in my knowledge. It's not that I'm completely ignorant, I've passed the exam in quantum physics I understand the concepts, but it doesn't feel right, I don't have the intuition like I do for example, classical mechanics or electrodynamics.
For example, of course, there are problems that I can't solve in classical mechanics or electrodynamics but I always know where to start I have an intuition about the problem and in most scenarios I have an ideas what solutions should look like. But in quantum physics, usually even for simple problems I can get stuck or don't know where to start.
I want to rebuild my knowledge from a new source.
The literature I've used so far is:
Introduction to Quantum Mechanics by David J.Griffiths,
Quantum physics by Leonard Schiff,
Modern Quantum Mechanics (Revised Edition) by J.J.Sakurai.
First one is an easy read, good introduction, but it doesn't use bra/ket notation.
Second on I just didn't like, it was hard to read, short on examples.
Third one I really like, but I'd like to see more examples and I can't check solutions for problems at the end of the chapters anywhere.
Could you please recommend me couple of more choices? I prefer books with lot of examples of solving problems. Also, while it's fine that book starts with wave functions, solving Schrodinger equations etc, I'd like a book that uses bra/ket notation.
Your best choice is Zettili's book. It contains solved problems on all topics including bra-ket notation. That is the reason basically why it has such high rating on amazon. It bridged a needed gap in QM textbooks.
I think that, looking at how it is teached, quantum mechanics is a bit too academic. For something more interesting fromt the point of view of the examples you should try something of many-body theory but i understand that is a little out of the target.
It can be hard to know what book to buy when you are just starting to learn open source geospatial technology. This post outlines each GIS & geospatial book in our catalog to help give you the top takeaways to consider.
It includes map algebra, delineating streams, and land cover calculations for catchments. And QGIS basics: digitizing, importing tabular data, interpolating data into rasters, and georeferencing scanned maps.
This edition introduces more advanced topics and encourages inquiry-based learning techniques and storytelling to inspire creativity, problem solving, and building confidence as they work through various scenarios.
The above books cover all the current QGIS training books. In another post, we will introduce the specialized application books (pgRouting, Leaflet) and the more general GIS training books as well (Desktop GIS, GDAL).
With the rapid advancements in satellite technology, earth remote sensing has become an indispensable tool for a wide range of applications, from environmental monitoring to disaster management. However, the vast amount of data generated by these satellites can be overwhelming for many researchers and practitioners who lack the necessary skills and tools to process and analyze it. This is where QGIS comes in. QGIS is a powerful, open-source Geographic Information System (GIS) software that has been extensively used in the field of earth remote sensing. It provides a user-friendly platform for processing, analyzing, and visualizing satellite imagery, enabling users to unlock the full potential of earth remote sensing data. The purpose of this book is to help researchers and practitioners who lack the necessary skills and tools to process and analyze satellite imagery using QGIS.
There are several books that cover the use of QGIS for earth remote sensing, but most of them areeither too technical or too general. This book fills this gap by providing a comprehensive and user-friendly guide to using QGIS for earth remote sensing applications. It includes a range of real-world case studies that demonstrate the power and versatility of QGIS for solving complex problems in earth remote sensing. This will provide readers with practical examples of how to use QGIS for earth remote sensing and inspire them to explore new applications and possibilities. The book is intended for GIS professionals, students (undergraduate and graduate), and researchers who are interested in using QGIS for earth remote sensing applications. It will be particularly useful for those who are new to QGIS or who want to expand their knowledge of the software for remote sensing purposes.
Dr. Fatwa Ramdani currently serves as a Professor at the University of Tsukuba in Japan. His research primarily focuses on environmental impact assessment, specifically leveraging earth observation data to investigate matters concerning human influence on the environment and issues of sustainability. His dedication to this field has resulted in the publication of 7 books and over 100 peer-reviewed articles in conferences and journals. He is affiliated with esteemed organizations such as the IEEE Geoscience and Remote Sensing Society (IGARSS), Japan Society of Photogrammetry and Remote Sensing (JSPRS), Remote Sensing Society of Japan (RSSJ), and European Geoscience Union (EGU). He actively serves as a reviewer for various journals including Nature Communications, International Journal of Remote Sensing, Climatic Change, Remote Sensing of Environment, and Global Environmental Change.
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The second edition of the "QGIS Python Programming Cookbook" is out today from Packt Publishing! And after my second publishing experience writing about QGIS, I can enthusiastically say it is one of the greatest open source projects, GIS software, and Python APIs out there. It really sets a standard for quality software development. GIS is a tool that helps people make better decisions to make the world a better place, and QGIS puts that potential in more people's hands than any other GIS software.
As with all of my books, I've tried to walk a very tricky line. I created a QGIS Python book reference book that will stand on its own if it's the only book you have. But I also try to create content that is very different from the official documentation and book, as well as complement other third-party books out there. QGIS is rich enough,
and updated and released with such frequency, that I don't think one book can do it justice. While many operations in QGIS are straight-forward and easy to understand, some things can be quite complex. For example, the Map Composer, raster operations, tinkering with various types of settings, and working with plug-ins through Python can be more difficult to understand. And having more than one example from different sources can be invaluable in software development. So I carefully picked examples and explanations that I felt were not easily found on the Internet for the most part, lacked documentation, or were complex enough that the over 170 examples should enrich your knowledge of QGIS regardless of you're starting from. At the very least, I hope it encourages more people to use my favorite GIS package.
The authors have written the book skillfully and retained its relevance although the world of GIS is transforming so rapidly with evolving technology and multi-disciplinary applications. The examples cited in the chapters are aptly put and retain their logical connection even though the book was first published in 2011.
The authors have demystified the complexity of GIS with a clarity of thought and purpose in this book. As an introductory book, the chapters give a peripheral knowledge that the student must possess. Connecting the chapters to practical to-do lab exercises may have made each chapter more interesting.
The book is consistent in its style and presentation. Complex and intricate terminologies have been avoided as far as practicable especially in the first five chapters to engage the reader and make the subject matter engrossing.
I do not see a Table of contents in the .pdf version. The online format looks better. I suggest a modification of the .pdf format for people to read and save offline. All the associated web links work well in the .pdf format. The Kindle file format may increase readership particularly among students with PDA's/mobile phones.
The subject matter of the book is largely technical interspersed with management techniques. The examples and illustrations cited in the chapters could be drawn from multiple regions and industries, however. The world of GIS encapsulates almost every activity and it may interest readers and instructors far and wide.
I shall recommend this book to any reader who wants to understand the world of GIS. If a book can tell a complex subject and reads like a storybook, the authors have succeeded in making an impact on the uninitiated as well as the seasoned GIS practitioner.
Essentials of Geographic Information Systems is designed to be a book for an introductory book in GIS. It is comprised of ten chapters which include introduction, map anatomy, data/information and where to find them, data models for GIS,...read more
This book covers the main basics of GIS, but is not a deep dive into the technology and what it can do at the introductory class level. It was originally published with Flatworld as an OER, then when Flatworld was purchased only available at a cost for a while, and now it is available again as an OER. I reviewed some of the original chapters in 2011 when they were first written, and like the style and writing.
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