data_analysis   986

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Spatial Reserves
The book aims to help GIS users, instructors and others develop their skills in finding,using and applying spatial data to solve problems. It also highlights some of the issues GIS practitioners are likely to encounter working with spatial data, including format, pricing, copyright, cloud computing and more.

The book also provides context for the development of the numerous data portals we see today in terms of the organizations that collect and provide access to data, and the policies that govern data use. Each chapter in this book discusses the major issues associated with public domain spatial data by presenting both sides of the debate, helping you appreciate the complexity of these issues and their relevance in your everyday work with GIS. This information will help users in all areas of the GIS community become critical users of data – mindful of provenance, quality, and appropriate use. /

The GIS Guide to Public Domain Data was written to provide GIS practitioners and instructors with the essential skills to find, acquire, format, and analyze public domain spatial data. Some of the themes discussed in the book include open data access and spatial law, the importance of metadata, the fee vs. free debate, data and national security, the efficacy of spatial data infrastructures, the impact of cloud computing and the emergence of the GIS-as-a-Service (GaaS) business model. Recent technological innovations have radically altered how both data users and data providers work with spatial information to help address a diverse range of social, economic and environmental issues.
GIS  public_data  data_sets  data_analysis  cartography  mapping 
3 days ago by shannon_mattern
On the Origins of Memes by Means of Fringe Web Communities
By Savvas Zannettou⋆, Tristan Caulfield‡, Jeremy Blackburn†, Emiliano De Cristofaro‡, Michael Sirivianos⋆, Gianluca Stringhini‡⋄, and Guillermo Suarez-Tangil‡
paper  memes  meme  digital  culture  data_analysis  internet_culture 
12 weeks ago by kajen
Concept modelling for dummies - Talking Humanities
A concept such as democracy, for example, can be inferred in natural language data from a range of co-occurring lexical terms, such as freedom, election, government, suffrage. We model concepts as co-occurring trios (sets of three terms that actually co-occur across a single span of text) which may be adjacent to each other, or separated by up to 50 tokens. That is, they may co-occur outside the level of the phrase or clause, across relatively large spans of discourse.
data_analysis  modelling  linguistics 
12 weeks ago by sharon_howard

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