Raimund Schn�rer – författare

AI in Cartography: A New Era of Making and Using Maps offers an in-depth exploration of how artificial intelligence is transforming the field of cartography. The book begins by establishing the foundational concepts of AI technologies relevant to mapmaking, including the data requirements and practical implementation of AI-driven cartographic solutions. It highlights how AI enhances map recognition and analysis, enabling more efficient and accurate interpretation of spatial information. The digitization of historical maps through AI techniques preserves valuable geographic heritage while facilitating modern analysis. The text further examines automated map generalization and generative AI approaches that revolutionize cartographic representation, improving both the creation and usability of maps. It also addresses important challenges such as bias, uncertainty, and the explainability of AI systems, alongside the ethical and governance issues surrounding AI in mapping. These discussions emphasize the need for responsible and transparent AI applications in cartography. Innovations in AI-driven topographic and thematic mapping are showcased, illustrating the growing role of AI in supporting smart cities and digital twin technologies. The book also explores how AI contributes to resilience and sustainability in environmental management. Looking ahead, it outlines future directions for integrating AI with cartographic practices, highlighting the potential for continued advancement in this dynamic field. This comprehensive volume serves as a valuable resource for researchers and practitioners, demonstrating how AI is reshaping the art and science of mapping for the modern era.Reviewing definitions, theoretical foundations, problems, and challenges to offer an extensive view of the state of the art of AI in CartographyDetailing best practices, practical examples, and applications to provide a sense of what AI is currently capable of and which network or technique to apply for which taskExamining future implications, potential innovations, and research gaps to motivate readers to tackle social, economic, and environmental problems