BOOKS - Geospatial Data Science Essentials: 101 Practical Python Tips and Tricks
Geospatial Data Science Essentials: 101 Practical Python Tips and Tricks - Milan Janosov July 18, 2024 PDF  BOOKS
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Geospatial Data Science Essentials: 101 Practical Python Tips and Tricks
Author: Milan Janosov
Year: July 18, 2024
Format: PDF
File size: PDF 16 MB
Language: English



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Book Description: Geospatial Data Science Essentials: 101 Practical Python Tips and Tricks As technology continues to evolve at an unprecedented pace, it's crucial to understand the process of technological development and its impact on modern knowledge and human survival. This handson guide provides a comprehensive overview of the geospatial data science landscape, equipping readers with a solid foundation in the field. With a focus on practicality, the book explores realworld examples and compact code to help readers master the tools and methods used in spatial analytics. Understanding Spatial Data Structures: The book begins by delving into the fundamentals of spatial data structures, providing a solid foundation for understanding the concepts that define the geospatial data science landscape. Readers will learn about the different types of spatial data, including points, lines, polygons, and networks, as well as how to work with them using Python. Leveraging Advanced Analytical Techniques: The book then moves on to advanced analytical techniques, such as spatial networks and machine learning, which are essential for navigating the rapidly evolving field of geospatial data science.
Geospatial Data Science Essentials: 101 Практические советы и рекомендации по питону Поскольку технология продолжает развиваться беспрецедентными темпами, крайне важно понимать процесс технологического развития и его влияние на современные знания и выживание человека. Это руководство содержит всесторонний обзор ландшафта науки о геопространственных данных, предоставляя читателям прочную основу в этой области. Уделяя особое внимание практичности, книга исследует примеры реального мира и компактный код, чтобы помочь читателям освоить инструменты и методы, используемые в пространственной аналитике. Понимание структур пространственных данных: Книга начинается с изучения основ структур пространственных данных, обеспечивая прочную основу для понимания концепций, определяющих ландшафт науки о геопространственных данных. Читатели узнают о различных типах пространственных данных, включая точки, линии, полигоны и сети, а также о том, как работать с ними с помощью Python. Использование передовых аналитических методов: Затем книга переходит к передовым аналитическим методам, таким как пространственные сети и машинное обучение, которые необходимы для навигации в быстро развивающейся области науки о геопространственных данных.
Géospatial Data Science Essentiels : 101 Conseils pratiques et conseils sur le python Alors que la technologie continue d'évoluer à un rythme sans précédent, il est essentiel de comprendre le processus de développement technologique et son impact sur les connaissances modernes et la survie humaine. Ce guide fournit un aperçu complet du paysage de la science des données géospatiales, offrant aux lecteurs une base solide dans ce domaine. En mettant l'accent sur la pratique, le livre explore des exemples du monde réel et un code compact pour aider les lecteurs à maîtriser les outils et les méthodes utilisés dans l'analyse spatiale. Comprendre les structures des données spatiales : livre commence par explorer les fondements des structures des données spatiales, fournissant une base solide pour comprendre les concepts qui définissent le paysage de la science des données géospatiales. s lecteurs apprennent à connaître les différents types de données spatiales, y compris les points, les lignes, les polygones et les réseaux, ainsi que comment travailler avec eux avec Python. Utilisation de techniques analytiques avancées : livre passe ensuite à des méthodes analytiques avancées, telles que les réseaux spatiaux et l'apprentissage automatique, qui sont nécessaires pour naviguer dans le domaine en évolution rapide de la science des données géospatiales.
Geospatial Data Science Essentials: 101 Consejos prácticos y recomendaciones sobre pitón A medida que la tecnología continúa evolucionando a un ritmo sin precedentes, es fundamental comprender el proceso de desarrollo tecnológico y su impacto en el conocimiento y la supervivencia humana actuales. Esta guía ofrece una visión global del paisaje de la ciencia de los datos geoespaciales, proporcionando a los lectores una base sólida en este campo. Con especial énfasis en la practicidad, el libro explora ejemplos del mundo real y un código compacto para ayudar a los lectores a dominar las herramientas y técnicas utilizadas en la analítica espacial. Comprender las estructuras de datos espaciales: libro comienza con el estudio de las bases de las estructuras de datos espaciales, proporcionando una base sólida para entender los conceptos que definen el paisaje de la ciencia de datos geoespaciales. lectores aprenden sobre diferentes tipos de datos espaciales, incluyendo puntos, líneas, polígonos y redes, y cómo trabajar con ellos con Python. uso de técnicas analíticas avanzadas: libro pasa entonces a técnicas analíticas avanzadas, como las redes espaciales y el aprendizaje automático, que son esenciales para navegar en el campo de la ciencia de datos geoespaciales en rápida evolución.
Geospatial Data Science Essentials: 101 Consigli pratici e suggerimenti sul pitone Poiché la tecnologia continua a crescere a un ritmo senza precedenti, è fondamentale comprendere il processo di sviluppo tecnologico e i suoi effetti sulla conoscenza moderna e sulla sopravvivenza umana. Questa guida fornisce una panoramica completa del panorama della scienza dei dati geospaziali, fornendo ai lettori una solida base in questo campo. Con particolare attenzione all'attualità, il libro esamina gli esempi del mondo reale e il codice compatto per aiutare i lettori a imparare gli strumenti e i metodi utilizzati nell'analisi spaziale. Comprensione delle strutture dei dati spaziali: il libro inizia studiando le basi delle strutture dei dati spaziali, fornendo una base solida per comprendere i concetti che definiscono il panorama della scienza dei dati geospaziali. I lettori conosceranno i vari tipi di dati spaziali, inclusi i punti, le linee, i poligoni e le reti, nonché come lavorare con Python. Uso di tecniche analitiche avanzate: il libro passa poi alle tecniche di analisi avanzate, come le reti spaziali e l'apprendimento automatico, necessarie per navigare in un campo in rapida evoluzione della scienza dei dati geospaziali.
Geospatial Data Science Essentials: 101 Praktische Tipps und Tricks für Python Da sich die Technologie in einem beispiellosen Tempo weiterentwickelt, ist es von entscheidender Bedeutung, den Prozess der technologischen Entwicklung und seine Auswirkungen auf das aktuelle Wissen und das menschliche Überleben zu verstehen. Dieser itfaden bietet einen umfassenden Überblick über die Landschaft der Geodatenwissenschaft und bietet den sern eine solide Grundlage in diesem Bereich. Mit einem Schwerpunkt auf Praktikabilität untersucht das Buch reale Beispiele und kompakten Code, um den sern zu helfen, die Werkzeuge und Techniken zu beherrschen, die in der räumlichen Analyse verwendet werden. Verständnis räumlicher Datenstrukturen: Das Buch beginnt mit dem Studium der Grundlagen räumlicher Datenstrukturen und bietet eine solide Grundlage für das Verständnis der Konzepte, die die Landschaft der Geodatenwissenschaft definieren. Die ser lernen verschiedene Arten von räumlichen Daten kennen, einschließlich Punkte, Linien, Polygone und Netzwerke, und wie man mit Python damit arbeitet. Verwendung fortgeschrittener Analysetechniken: Das Buch geht dann zu fortgeschrittenen Analysetechniken wie räumlichen Netzwerken und maschinellem rnen über, die für die Navigation im sich schnell entwickelnden Bereich der Geodatenwissenschaft unerlässlich sind.
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Jeo Uzamsal Veri Bilimi Temelleri: 101 Python için pratik ipuçları ve püf noktaları Teknoloji benzeri görülmemiş bir hızda ilerlemeye devam ederken, teknolojik gelişme sürecini ve bunun modern insan bilgisi ve hayatta kalma üzerindeki etkisini anlamak çok önemlidir. Bu kılavuz, jeo-uzamsal veri bilimi peyzajına kapsamlı bir genel bakış sunarak, okuyuculara bu alanda sağlam bir temel sağlar. Pratikliğe odaklanan kitap, okuyucuların mekansal analitikte kullanılan araç ve teknikleri öğrenmelerine yardımcı olmak için gerçek dünyadaki örnekleri ve kompakt kodları araştırıyor. Mekansal veri yapılarını anlama: Kitap, mekansal veri yapılarının temellerini keşfederek, jeo-uzamsal veri biliminin peyzajını tanımlayan kavramları anlamak için sağlam bir temel sağlayarak başlar. Okuyucular, noktalar, çizgiler, çokgenler ve ağlar dahil olmak üzere farklı uzamsal veri türlerini ve Python'u kullanarak onlarla nasıl çalışacaklarını öğrenirler. Gelişmiş analitik teknikleri kullanma: Kitap daha sonra, hızla gelişen jeo-uzamsal veri bilimi alanında gezinmek için gerekli olan mekansal ağlar ve makine öğrenimi gibi gelişmiş analitik tekniklere geçer.
أساسيات علوم البيانات الجغرافية المكانية: 101 نصائح وحيل عملية للثعبان مع استمرار تقدم التكنولوجيا بوتيرة غير مسبوقة، من الأهمية بمكان فهم عملية التطور التكنولوجي وتأثيرها على المعرفة البشرية الحديثة والبقاء. يقدم هذا الدليل لمحة عامة شاملة عن المشهد العلمي للبيانات الجغرافية المكانية، مما يوفر للقراء أساسًا متينًا في هذا المجال. بالتركيز على التطبيق العملي، يستكشف الكتاب أمثلة العالم الحقيقي والشفرة المدمجة لمساعدة القراء على إتقان الأدوات والتقنيات المستخدمة في التحليلات المكانية. فهم هياكل البيانات المكانية: يبدأ الكتاب باستكشاف أسس هياكل البيانات المكانية، مما يوفر أساسًا متينًا لفهم المفاهيم التي تحدد المشهد الطبيعي لعلوم البيانات الجغرافية المكانية. يتعرف القراء على أنواع مختلفة من البيانات المكانية، بما في ذلك النقاط والخطوط والمضلعات والشبكات وكيفية العمل معها باستخدام Python. باستخدام تقنيات تحليلية متقدمة: ينتقل الكتاب بعد ذلك إلى التقنيات التحليلية المتقدمة مثل الشبكات المكانية والتعلم الآلي، والتي تعتبر ضرورية للتنقل في مجال علم البيانات الجغرافية المكانية سريع التطور.

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