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With revised material and new exercises based on ArcGIS version 9, this updated work acquaints geographers and GIS professionals with the principles of GIS as it teaches the mechanics of using ArcGIS software. Conceptual material is followed by scripted software exercises. Necessary GIS skills are presented in a variety of areas--map symbology, data overlay, map projection, and data conversion--as the making of maps and the analysis of geographic data is conceptualized. Spatial modeling exercises using the Model Builder technology of ArcGIS version 9 are also provided. Other topics covered include organizing data, planning a GIS project, creating derived data, and presenting results.

Geographic information systems. --- Graphical user interfaces (Computer systems). --- ArcGIS. --- Graphical user interfaces (Computer systems) --- Geografie --- Geografische Informatie Systemen --- Software.

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"The definitive, easy-to-follow guide to writing Python code with spatial data in ArcGIS Pro, whether you're new to programming or not. This book starts with the basics, then covers how to write scripts that work with spatial data in ArcGIS Pro, including executing tools in Python, describing data, and manipulating and creating data, as well as a number of more specialized tasks. Lastly, you will learn how to create a tool out of your script and how to share your tool with others. By the end, you will be able to create custom tools that use Python scripting to automate basic tasks in ArcGIS Pro. Helpful review questions, keywords, and "points to remember" are included at the end of each chapter. Corresponding data and exercises are available online. This comprehensive, hands-on book is a must for learning the versatility of Python coding as an approach to solving problems. Some of the key topics in this book include: Python language fundamentals Automating geoprocessing tasks Exploring and manipulating spatial and tabular data Working with Geometries and rasters Map scripting Debugging and error handling Creating functions and classes Creating and sharing script tools ArcGIS API for Python"--

Geographic information systems --- Graphical user interfaces (Computer systems) --- Python (Computer program language) --- 528.8 --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Scripting languages (Computer science) --- GUIs (Computer systems) --- User interfaces (Computer systems) --- Geography --- ArcGIS. --- Geographic information systems. --- Graphical user interfaces (Computer systems). --- Python (Computer program language). --- Système d'information géographique. --- Interfaces graphiques (informatique) --- Python (langage de programmation) --- ArcGIS

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This special issue aims to contribute to the climate actions which called for the need to address Greenhouse Gas (GHG) emissions, keeping global warming to well below 2°C through various means, including accelerating renewables, clean fuels, and clean technologies into the entire energy system. As long as fossil fuels (coal, gas and oil) are still used in the foreseeable future, it is vital to ensure that these fossil fuels are used cleanly through abated technologies. Financing the clean and energy transition technologies is vital to ensure the smooth transition towards net zero emission by 2050 or beyond. The lack of long‐term financing, the low rate of return, the existence of various risks, and the lack of capacity of market players are major challenges to developing sustainable energy systems.This special collected 17 high-quality empirical studies that assess the challenges for developing secure and sustainable energy systems and provide practical policy recommendations. The editors of this special issue wish to thank the Economic Research Institute for ASEAN and East Asia (ERIA) for funding several papers that were published in this special issue.

Research & information: general --- Physics --- industrial energy intensity --- pollution emission intensity --- quantile DID method --- Beijing–Tianjin–Hebei coordinated development --- China --- environmental Kuznets curve --- CO2 emission --- energy efficiency --- economic growth --- panel ARDL --- DEA --- energy transition --- renewables --- hydrogen --- fossil fuels --- emissions --- FDIA --- blockchain --- data exchanging --- under-operating agents --- ISO --- electricity market --- Saudi Arabia --- energy sustainability --- world energy trilemma index --- Bayesian Belief Network --- green technology --- sustainability --- climate change --- Southeast Asia --- energy policy --- high-efficiency --- low-emission --- carbon dioxide emissions --- carbon pricing --- subcritical --- desulphurization --- denitrification --- cost–benefit analysis --- levelized cost of electricity --- energy supply security --- energy dependence --- energy diversity --- business as usual (BAU) --- Alternative Policy Scenarios (APSs) --- clean technologies --- and resiliency --- multi plant firms --- environmental assessment --- local-global performance --- wind energy --- power trade --- counterfactual scenario --- ASEAN --- natural gas --- multi-objective --- goal programming --- optimization --- allocation --- connectivity --- energy infrastructure --- Mekong Subregion --- green bonds --- post-COVID-19 era --- Asia and the Pacific --- green finance --- sustainable development --- thermal energy storage (TES) --- latent heat thermal energy storage (LHTES) --- circular economy --- environmental sustainability --- life cycle assessment (LCA) --- physico-chemical characterization --- Coats–Redfern model --- flammability --- integral model --- iso-conversional --- wind farm site selection --- multi-criteria decision-making system --- Analytic Hierarchy Process --- Semnan province --- ArcGIS