Geographical information systems Books
NY Research Press Geographic Information Science and Systems
£999.99
NY Research Press Geographic Information Systems
£999.99
Callisto Reference Remote Sensing: Technology and Applied Principles
£999.99
Callisto Reference Remote Sensing: Analysis, Techniques and Applications
£999.99
Larsen and Keller Education Introduction to Geographic Information Systems
£999.99
Larsen and Keller Education Remote Sensing: Principles and Techniques
£999.99
Astral International Pvt. Ltd. Geoscience and Remote Sensing
£999.99
£999.99
Locate Press Using R as a GIS
£999.99
£999.99
£999.99
Ediciones Ucsh Razonamiento cuantitativo
£999.99
Amazon Digital Services LLC - Kdp Exceptional skills for ArcGIS Pro 3.6 for Beginners 2026
£999.99
Amazon Digital Services LLC - Kdp Arduino Programming A Beginners Journey into Coding Robotics and Smart Tech Projects
£999.99
£999.99
Engineering Science Reference Deep Learning Applications in Remote Sensing for Climate Change Monitoring
£999.99
IGI GLOBAL SCIENTIFIC PUBLISHING Building Information Modeling and Geographic Information Systems for NextGeneration Spatial Intelligence
£999.99
Engineering Science Reference Building Information Modeling and Geographic Information Systems for NextGeneration Spatial Intelligence
£999.99
Information Science Reference Addressing Urban and Spatial Challenges Through Gamification
£999.99
£999.99
Engineering Science Reference Advancing Environmental Research Through Applied GIS and Remote Sensing
£999.99
£999.99
IGI Global Recent Trends in Geospatial AI
£999.99
APress Machine Learning on Geographical Data Using Python
Book SynopsisGet up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. Analytics operations typically applied to geodata are explained such as clipping, intersecting, buffering, merging, dissolving, and erasing, with implementations in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and presents interpolation, classification, regression, and clustering via examples and use cases.&nTable of ContentsChapter 1: Introduction to GeodataChapter Goal: Presenting what geodata is, how to represent it, its difficultiesNo of pages 20Sub -Topics1. Geodata definitions2. Geographical Information Systems and common tools3. Standard formats of geographical data4. Overview of Python tools for geodataChapter 2: Coordinate Systems and ProjectionsChapter Goal: Introduce coordinate systems and projectionsNo of pages: 20Sub - Topics 1. Geographical coordinates2. Geographical coordinate systems3. Map projections4. Conversions between coordinate systemsChapter 3: Geodata Data Types: Points, Lines, Polygons, RasterChapter Goal: Explain the four main data types in geodataNo of pages : 20Sub - Topics: 1. Points2. Lines3. Polygons4. RasterChapter 4: Creating MapsChapter Goal: Learn how to create maps in PythonNo of pages : 20Sub - Topics: 1. Discover mapping libraries2. See how to create maps with different data typesChapter 5: Basic Operations 1: Clipping and Intersecting in PythonChapter Goal: Learn clipping and intersecting in PythonNo of pages: 20Sub - Topics: 1. What is clipping?2. How to do clipping in Python?3. What is intersecting4. How to do intersecting in Python?Chapter 6: Basic Operations 2: Buffering in PythonChapter Goal: Learn how to create buffers in PythonNo of pages: 20Sub - Topics: 1. What are buffers?2. How to create buffers in PythonChapter 7: Basic Operations 3: Merge and Dissolve in PythonChapter Goal: Learn how to merge and dissolve in PythonNo of pages: 20Sub - Topics: 1. What is the merge operation?2. How to do the merge operation in Python?3. What is the dissolve operation?4. How to do the dissolve operation in Python?Chapter 8: Basic Operations 4: Erase in PythonChapter Goal: Learn how to do an erase in PythonNo of pages: 20Sub - Topics: 1. What is the erase operation?2. How to apply the erase operation in PythonChapter 9: Machine Learning: InterpolationChapter Goal: Learn how to do interpolation PythonNo of pages: 20Sub - Topics: 1.What is interpolation?2.How to do interpolation in Python3.Different methods for spatial interpolation in PythonChapter 10: Machine Learning: ClassificationChapter Goal: Learn how to do classification on geodata in PythonNo of pages: 20Sub - Topics: 1.What is classification?2.How to do classification on geodata in Python?3.In depth example application of classification on geodata.Chapter 11: Machine Learning: RegressionChapter Goal: Learn how to do regression on geodata in PythonNo of pages: 20Sub - Topics: 1.What is regression?2.How to do regression on geodata in Python?3.In depth example application of regression on geodata.Chapter 12: Machine Learning: ClusteringChapter Goal: Learn how to do clustering on geodata in PythonNo of pages: 20Sub - Topics: 1.What is clustering?2.How to do clustering on geodata in Python?3.In depth example application of clustering on geodata.Chapter 13: ConclusionChapter Goal: Regroup all the knowledge togetherNo of pages: 10Sub - Topics: 1.What have you learned?2.How to combine different practices together3. Other reflections for applying the topics in a real-world use case
£999.99
Springer Verlag, Singapore Proceedings of the 7th China High Resolution Earth Observation Conference (CHREOC 2020): A Decade of Integrated Aerospace Exploration
Book SynopsisThis book is the proceedings of the 7th China High-resolution Earth Observation Conference (CHREOC). The series conference of China High Resolution Earth Observation has become an influential academic event in the earth detection area, attracting more and more top experts and industry users of related fields. The CHREOCs focus on the popular topics including military-civilian integration, the One Belt and One Road project, the transformation of scientific research achievements. They also discuss the new ideas, new technologies, new methods, and new developments. The CHREOCs have effectively promoted high-level institutional mechanisms, technological innovation, and industrial upgrading in the high-resolution earth observation area, and extend the influences of the state-sponsored major projects. Table of ContentsNew concept and frontier theory of Earth observation.- System platform and overall technology.- Advanced loading technology.- High-efficiency processing technology.- Application technology for earth observation.- Integration and Business development.- Fusion application of remote sensing and navigation technology.
£999.99
Callisto Reference Renewable Energy: Geographic Information Systems
Book Synopsis
£110.08
Callisto Reference Remote Sensing Technologies for Monitoring and
Book Synopsis
£115.91
Clanrye International Geographic Information Science and Systems
Book Synopsis
£103.22
Syrawood Publishing House Geoinformation Technology and Artificial
Book Synopsis
£115.90
Syrawood Publishing House Earth Observation and Monitoring: Techniques and
Book Synopsis
£115.90
Syrawood Publishing House Geographic Information Systems: Applications in
Book Synopsis
£117.36
Syrawood Publishing House Remote Sensing and Image Interpretation
Book Synopsis
£114.44
Syrawood Publishing House Satellite Radar Altimetry Applications in Earth
Book Synopsis
£114.44
Syrawood Publishing House Remote Sensing Technology in Modern Agriculture
Book Synopsis
£110.07
ISTE Ltd and John Wiley & Sons Inc Geographical Information and Climatology
Book SynopsisThis book includes two parts. The first part is more theoretical and general, and it covers fundamental principles : geospatial climate data measurement ; spatial analysis, mapping and climate ; geographical information, remote sensing and climatology ; and geographical information for initialisation of forecasting and climate models. The second part describes geographical information used in various climate applications of importance today, related to risk : urban climate ; air pollution ; hydrological problems linked to climatology ; forest fires.Table of ContentsPreface vii Chapter 1. Basics of Climatological and Meteorological Observations for GIS Applications 1 Wolfgang SCHOENER 1.1. Data measurements and observations in climatology 2 1.2. Data quality control and data homogenization in climatology 12 1.3. Metadata: documenting quality and usability 20 1.4. Future perspectives 25 1.5. Bibliography 26 Chapter 2. Spatial Analysis, Cartography and Climate 29 Daniel JOLY 2.1. Introduction 29 2.2. Geographic information necessary for interpolation 32 2.3. The main interpolation methods 36 2.4. Geographic information used in statistical interpolations: advantages and disadvantages 42 2.5. Conclusion 67 2.6. Bibliography 69 Chapter 3. Geographical Information, Remote Sensing and Climatology 73 Vincent DUBREUIL 3.1. Introduction 73 3.2. The development phases of meteorological satellites 74 3.3. Examples of how geostationary data are used in Brazil 85 3.4. Examples of NOAA-AVHRR data used in Western France 92 3.5. Conclusion 99 3.6. Acknowledgements 100 3.7. Bibliography 100 Chapter 4. Geographical Information for the Initialization of Numerical Weather Forecast Models and Climate Modeling 103 Pierre BESSEMOULIN 4.1. Introduction 103 4.2. Brief description of the climate system 103 4.3. Brief overview of numerical weather forecast models 107 4.4. Role and description of the Earth’s surface 111 4.5. Description of surface parameters used in a forecast model 119 4.6. Bibliography 123 Chapter 5. Assessing and Modeling the Urban Climate in Lisbon 125 Maria João ALCOFORADO 5.1. Introduction 125 5.2. Historical evolution of urban climate studies 126 5.3. Spatial scales 127 5.4. Climatic modifications induced by settlements 128 5.5. Urban climate monitoring methods 130 5.6. Modeling 134 5.7. Modeling Lisbon’s urban climate at the mesoscale 135 5.8. Modeling Lisbon’s urban climate at the microscale (Telheiras city-district) 144 5.9. Conclusion 152 5.10. Acknowledgements 153 5.11. Bibliography 154 Chapter 6. Geographical Information, Climate and Atmospheric Pollution 159 Isabelle ROUSSEL 6.1. Introduction 159 6.2. Peak pollution periods and alerts: pollution and climate paroxysm 161 6.3. LAURE and territory age 171 6.4. The geography of science and action 180 6.5. Conclusion 190 6.6. Bibliography 191 Chapter 7. Geographical Information and Climatology for Hydrology 195 Jean-Pierre LABORDE 7.1. Hydrological problems of today’s society 195 7.2. Pluviometry: a spatially continuous piece of geographical information 200 7.3. The problems associated with recording rainfall and average spatial rainfall 218 7.4. Conclusion 228 7.5. Bibliography 229 Chapter 8. Geographical Information, Climatology and Forest Fires 233 Pierre CARREGA 8.1. Forest fires: associated risks and individual components 233 8.2. The influence that different climate and weather factors have on forest fires: the indexes 238 8.3. Using geographic information to work out the meteorological risks associated with forest fires 246 8.4. Conclusion List of Authors 271 Index 273
£132.00
de Gruyter LaplaceAzimute Zwischen Weit Entfernten Stationen
Book Synopsis
£134.09
de Gruyter Eine KompatibilitätsBedingung Der Höheren
Book Synopsis
£134.09
De Gruyter Stationen von 001 bis 900
Book Synopsis
£123.08
