Descargar Urban Analytics (Spatial Analytics and GIS) de Alex Singleton,Seth Spielman,David Folch Ebooks, PDF, ePub

Descarga Urban Analytics (Spatial Analytics and GIS) de Alex Singleton,Seth Spielman,David Folch Libro PDF, Descargar audiolibro Urban Analytics (Spatial Analytics and GIS) mp3 gratis

📘 Lee Ahora     📥 Descargar

Urban Analytics (Spatial Analytics and GIS) de Alex Singleton,Seth Spielman,David Folch

Descripción - Críticas This is a comprehensive and timely consolidation of current thinking about urban analytics. The book is fizzing with new ideas, and brimming with practical examples of the science of doing. Compulsive student reading. (Paul Longley)Urban analytics is fast emerging as the core set of tools employed to deal with problems of big data, urban simulation, and demographics. This book is essential reading to all those involved in this newly emergent field, providing a new arsenal of analytic tools to make sense of how cities are being restructured. (Michael Batty)Urban Analytics neatly interweaves an introduction to this emerging field, with an accessible discussion of enduring themes and new approaches in quantitative geography. An engaging text that will appeal to students in a range of disciplines. (David O'Sullivan)This excellent starter text captures the excitement and enthusiasm of a new kind of urban research: one that exploits the vast new data resources that are becoming available, from social media, crowdsourcing, and sensor networks; and makes use of the unprecedented power of today's computer technology. It fills an important gap, and will be an essential text for students in a wide range of disciplines, from civil, infrastructure, and transportation engineering to geography, planning, and urban studies. (Michael Goodchild)Urban analytics has come of age!  This textbook by three leading scholars in data-driven and computational urban science is needed and welcome.  It is a fantastic resource for educating the next generation of urban scholars. (Harvey J. Miller)Urban Analytics is a great introductory text for getting familiar with logics and perspectives characterising the analysis, interpretation and representation of urban data. It is a highly valuable work for urban scholars who are familiar with qualitative approaches, but would like to gain a deeper understanding of the ways data and computational techniques allow us to understand and gain meaningful knowledge of cities and urban phenomena. (Alberto Vanolo)Urban analytics is integral to city infrastructure, and it is hugely important that people understand the implication and uses of City data. This book accessibly explains the underlying concepts of urban analytics for students and interested professionals. I believe this book will be very helpful, and will recommend it for my students and (business) partners in city data projects. (Nanda Piersma) Reseña del editor The economic and political situation of cities has shifted in recent years in light of rapid growth amidst infrastructure decline, the suburbanization of poverty and inner city revitalization. At the same time, the way that data are used to understand urban systems has changed dramatically.  Urban Analytics offers a field-defining look at the challenges and opportunities of using new and emerging data to study contemporary and future cities through methods including GIS, Remote Sensing, Big Data and Geodemographics. Written in an accessible style and packed with illustrations and interviews from key urban analysts, this is a groundbreaking new textbook for students of urban planning, urban design, geography, and the information sciences. Biografía del autor Alex Singleton is Professor of Geographic Information Science at the University of Liverpool, where he entered as a lecturer in 2010. He holds a BSc (Hons) Geography from the University of Manchester and a PhD from University College London. To date, his research income totals around £15m, with two career highlights including the ESRC funded Consumer Data Research Centre; and the recently awarded ESRC Centre for Doctoral Training in New Forms of Data. Alex’s research is embedded within the Geographic Data Science Lab (geographicdatascience.com) and concerns various aspects of urban analytics. In particular, his work has extended a tradition of area classification within Geography where he has developed an empirically informed critique of the ways in which geodemographic methods can be refined for effective yet ethical use in public resource allocation applications. Seth Spielman is an Associate Professor of Geography at the University of Colorado.  His expertise is in the intersection of maps, statistics, and machine learning.  He has received the Breheny Prize for work in Urban Analytics, a distinguished scholar award in Planning from the American Association of Geographers, and was profiled in the journal  Science as an archetype of a new generation of data-centric geographers. His publications have appeared in a diverse set of journals including PNAS, PlosOne, Demography, Annals of the Association of American Geographers, and the International Journal of GIS.  Outside of academia his professional experience has ranged from the hyper digital world of Data Science and Software Engineering in Silicon Valley to the insanely analog practice of being the sole proprietor of an antiquarian bookshop in Manhattan.David Folch is an Assistant Professor in the Department of Geography at Florida State University. His research focuses on spatial analytical methods, with a contextual interest in US cities and neighborhoods. His approach to research sits at the intersection of geography, economics and computer science, which in practice means merging geographic and economic theories with high-performance computing and large datasets to address research questions with distinctly spatial manifestations. His work has involved developing improved measures for residential segregation and the creation of spatial approaches for reducing uncertainty in American Community Survey estimates. He holds degrees in geography and economics.

Detalles del Libro

• Name: Urban Analytics (Spatial Analytics and GIS)
  
• Autor: Alex Singleton,Seth Spielman,David Folch
  
• Categoria: Libros,Ciencias, tecnología y medicina,Ciencias de la Tierra
  
• Tamaño del archivo: 17 MB
  
• Tipos de archivo: PDF Document
  
• Idioma: Español
  
• Archivos de estado: AVAILABLE
  

[Download] Urban Analytics (Spatial Analytics and GIS) de Alex Singleton,Seth Spielman,David Folch Ebooks, PDF, ePub

Urban Analytics: A 21st Century Introduction to Spatial ~ Urban analytics and the future of spatial data science. Urban Analytics is a welcomed addition to the recent debates among geographers, spatial data scientists, urban planners, and municipal leaders looking to data to find better ways to manage cities and urban areas around the world.

Urban Analytics (Spatial Analytics and GIS) - Kindle ~ Urban Analytics (Spatial Analytics and GIS) - Kindle edition by Singleton, Alex David, Spielman, Seth, Folch, David. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Urban Analytics (Spatial Analytics and GIS).

Spatial Data Analytics - Spatial Data Analytics / Coursera ~ For spatial data analytics, there could be numerous options. As discussed in the third week, GIS has basic capability of spatial data analysis, which supports measurement and geoprocessing of vector and raster data. Spatial DBMS, for example, PostGIS presents a variety of basic spatial operations in this query language.

Urban Analytics and Spatial Data Management (MiniClass ~ This mini-class provides a hands-on, "quick start" look at some of the methods and tools that help urban planners capitalize on the new world of ubiquitous urban sensing and pervasive computing. Translating the new data streams into useful urban analytics and a deeper understanding of activity patterns and sustainability issues is exciting but challenging.

Spatial Analytics - Decision Analyst ~ Spatial Analytics Spatial Analytics is the analysis of business and marketing variables as they relate to geographic space and time. There is a geographic, or spatial dimension, to virtually all business and marketing activities. In the hands of talented analysts, Geographical Analytics and GIS (Geographical Information Systems) can help companies:

Urban Spatial ~ Urban Spatial consults at the intersection of data science and public policy. . Predictive Analytics. The true power of data lies in its ability to uncover the motivation of people and how they interact with the places they live, work and shop.

Data Science & Spatial Analysis / Use Spatial Science to ~ ArcGIS, part of the Esri Geospatial Cloud, is the world’s most powerful mapping and spatial analytics software. It is used by 90 of the Fortune 100 and half of the Fortune 500 brands for advanced analytics. Esri invests heavily in research and development to provide innovative solutions that integrate cutting-edge data science methods.

All Degrees + Certificates / Weitzman School ~ Master of Urban Spatial Analytics. . The one-year MUSA program combines coursework on GIS, spatial analysis, data science, statistics, R and python programming, data visualization and web-based mapping with world-class urban content coursework from across the University of Pennsylvania.

Penn to Offer Master's Degree in Urban Spatial Analytics ~ Required analytics and methodology courses include modeling geographic space, spatial analysis in urban studies, statistics and spatial data analysis with GIS. Students may select urban content field courses from criminology, design, economic development, education, local and state government, public health, real estate, social welfare, transportation or urban demography.

Urban Analytics (Spatial Analytics and GIS): Singleton ~ Urban Analytics offers a field-defining look at the challenges and opportunities of using new and emerging data to study contemporary and future cities through methods including GIS, Remote Sensing, Big Data and Geodemographics.

The Importance Of Applying Spatial Analytics In Business ~ Spatial analytics and data science are fueling a transformation in the connected age. Today, more than 2.5 exabytes (2.5 billion gigabytes) of data are generated daily.

Urban Analytics (Spatial Analytics and GIS) (English ~ Urban Analytics (Spatial Analytics and GIS) (English Edition) eBook: Singleton, Alex David, Spielman, Seth, Folch, David: : Kindle-Shop

Urban Analytics Lab, Singapore ~ Urban Analytics Lab Geospatial and 3D urban modelling research group at the National University of Singapore We are a new interdepartmental multidisciplinary research group focusing on urban data analysis, geographic data science, and 3D city modelling at the National University of Singapore (NUS) , the #1 ranked university in Asia and world’s #11 (QS).

How to Perform Spatial Analysis - GIS Mapping Software ~ Analytics How to Perform Spatial Analysis. Most data and measurements can be associated with locations and, therefore, can be placed on the map. Using spatial data, you know both what is present and where it is. . modeling with GIS tools, and spatial problem solving.

Spatial Analytics Consulting - Decision Analyst ~ Spatial Analytics integrates: Technology—Decision Analyst utilizes state of the art Geographic Information Systems (GIS) that merges computer mapping software with our proprietary database capabilities. This allows for spatial relationships, patterns, and trends in data to be visualized through various layers of geographic variables.

Master of Urban Spatial Analytics / Weitzman School ~ Urban and environmental planners are using spatial data and increasingly sophisticated empirical models to analyze existing patterns, parameterize key trends and processes, forecast alternative futures, and visualize key results for non-technical decision-makers. This course focuses explicitly on these themes.

Urban analytics defined / Request PDF ~ Urban analytics can be defined as urban research that exploits new data resources that are captured, for example, from sensors (e.g. imagery, the internet of things), crowdsources and social media .

Urban Network Analysis Toolbox for ArcGIS — City Form Lab ~ The tools incorporate three important features that make them particularly suited for spatial analysis on urban street networks. First, they can account for both geometry and topology in the input networks, using either metric distance (e.g. Meters) or topological distance (e.g. Turns) as impedance factors in the analysis.

Blog uDA / UrbanData Analytics ~ Urban Data Analytics En El Programa De Ana Pastor. Te dejo el programa de Ana Pastor en La Sexta, 'El Objetivo', sobre el calentamiento del mercado de alquiler, análisis y consecuencias. Con la participación de urban Data Analytics ofreciendo datos y entrevista. Objetivo Busco…

Spatial urban data system: A cloud-enabled big data ~ Spatial urban data system: . Yeran Sun is a postdoctoral research associate in urban analytics (GIS) at the Urban Big Data Centre, University of Glasgow, United Kingdom. His research interests are GIS, geospatial big data analysis, transport and health.

Services / Urban Spatial ~ Predictive Analytics. The true power of data lies in its ability to uncover the motivation of people and how they interact with the places they live, work and shop. Predictive modeling allows us to unlock these dynamics and use them to plan more effective resource allocation. LEARN MORE

UrbanData Analytics / Tomamos el pulso al mercado inmobiliario ~ Estas Bases de Datos quedan estructuradas en 160 urbanData Sets clasificados en 6 ejes: Urban People, Urban Economics, Urban Move, Urban Shape,… Visualizamos Datos Visualizamos datos a través de mapas georeferenciados, charts e infografías… permitiendo su rápida compresión y análisis.

Urban Data Analytics: (3) Analytics and Visualization ~ Geo-spatial methods, such as, maps, GIS, and etc, are excellent ways to visualize and understand these characteristics. In this post, I will introduce some of the urban analytics and geospatial modelling techniques that I use frequently. For visualization of spatial data, I frequently use Leaflet.js.

ArcGIS - Spatial Analytics ~ Spatial analytics are how we understand our world—mapping where things are, how they relate, what it all means, and what actions to take. From computational analysis of geographic patterns to finding optimum routes, site selection, and advanced predictive modeling, spatial analysis is at the very heart of geographic information system (GIS) technology.

Spatial Analytics ~ Welcome to Spatial Analytics. My name is Phil and I enjoy geography, economics, and programming. I’m a spatial data analyst using R, Python, SQL and whatever else I can get my hands on. I have experience in creating accessibility indexes, automating analysis, and general GIS development. Below are some of my blog posts: