geocomputational statistics and GIS
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geocomputational statistics and GIS
geographical model, computational, spatial statistics, web service, semantic, data integration, pattern, data quality, uncertainty, standard
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Entropy | Special Issue : Spatial Information Theory

Entropy | Special Issue : Spatial Information Theory | geocomputational statistics and GIS | Scoop.it
Entropy, an international, peer-reviewed Open Access journal.
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GIS, Spatial Information Theory & Entropy Special issue. Deadline December 2018
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IJGI | Free Full-Text | Transdisciplinary Foundations of Geospatial Data Science

IJGI | Free Full-Text | Transdisciplinary Foundations of Geospatial Data Science | geocomputational statistics and GIS | Scoop.it
Recent developments in data mining and machine learning approaches have brought lots of excitement in providing solutions for challenging tasks (e.g., computer vision). However, many approaches have limited interpretability, so their success and failure modes are difficult to understand and their scientific robustness is difficult to evaluate. Thus, there is an urgent need for better understanding of the scientific reasoning behind data mining and machine learning approaches. This requires taking a transdisciplinary view of data science and recognizing its foundations in mathematics, statistics, and computer science. Focusing on the geospatial domain, we apply this crucial transdisciplinary perspective to five common geospatial techniques (hotspot detection, colocation detection, prediction, outlier detection and teleconnection detection). We also describe challenges and opportunities for future advancement.
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I would recommend ... echoing some work I pursue too!
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Earth Observation for Citizen Science Validation, or Citizen Science for Earth Observation Validation? The Role of Quality Assurance of Volunteered Observations

Earth Observation for Citizen Science Validation, or Citizen Science for Earth Observation Validation? The Role of Quality Assurance of Volunteered Observations | geocomputational statistics and GIS | Scoop.it
Environmental policy involving citizen science (CS) is of growing interest. In support of this open data stream of information, validation or quality assessment of the CS geo-located data to their appropriate usage for evidence-based policy making needs a flexible and easily adaptable data curation process ensuring transparency. Addressing these needs, this paper describes an approach for automatic quality assurance as proposed by the Citizen OBservatory WEB (COBWEB) FP7 project. This approach is based upon a workflow composition that combines different quality controls, each belonging to seven categories or “pillars”. Each pillar focuses on a specific dimension in the types of reasoning algorithms for CS data qualification. These pillars attribute values to a range of quality elements belonging to three complementary quality models. Additional data from various sources, such as Earth Observation (EO) data, are often included as part of the inputs of quality controls within the pillars. However, qualified CS data can also contribute to the validation of EO data. Therefore, the question of validation can be considered as “two sides of the same coin”. Based on an invasive species CS study, concerning Fallopia japonica (Japanese knotweed), the paper discusses the flexibility and usefulness of qualifying CS data, either when using an EO data product for the validation within the quality assurance process, or validating an EO data product that describes the risk of occurrence of the plant. Both validation paths are found to be improved by quality assurance of the CS data. Addressing the reliability of CS open data, issues and limitations of the role of quality assurance for validation, due to the quality of secondary data used within the automatic workflow, are described, e.g., error propagation, paving the route to improvements in the approach.
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Self-promotion!
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Machine Learning Vs. Statistics

Machine Learning Vs. Statistics | geocomputational statistics and GIS | Scoop.it
This article was written by Aatash Shah.


Many people have this doubt, what’s the difference between statistics and machine learning? Is there something like…
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Pretty picture meaning 'team work', though with an arguing attitude! a healthy one I hope!
 
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Do Data Scientists Still Really Exist?

Do Data Scientists Still Really Exist? | geocomputational statistics and GIS | Scoop.it
It’s a question that’s asked a lot lately, and the truth is, data scientists not only exist -- one of them may become president someday. That is a bold sta

Via Carla Gentry CSPO
DrDids's insight:
Looking at the stars from the Earth of vice versa? but where is the data gutter? Oscar  V-Wilde
 
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Carla Gentry CSPO's curator insight, March 15, 2017 9:46 AM
Well hell yes WE exist, what do you think I do all day, twittle my fingers lol
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Earth Observation for Citizen Science validation, or, Citizen Science for Earth Observation validation? Role of the Quality Assurance of Volunteered Observations.

Earth Observation for Citizen Science validation, or, Citizen Science for Earth Observation validation? Role of the Quality Assurance of Volunteered Observations. | geocomputational statistics and GIS | Scoop.it
Official Full-Text Publication: Earth Observation for Citizen Science validation, or, Citizen Science for Earth Observation validation? Role of the Quality Assurance of Volunteered Observations. on ResearchGate, the professional network for scientists.
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DrDids's curator insight, December 13, 2016 9:30 AM
EO for CS or CS for EO?  The joy of Open Source is to publish a preprint ahead of any ... outcome of the publishing aspect! comments welcome !
 
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Spatial Analysis and GEOmatics 2016 - Sciencesconf.org

Spatial Analysis and GEOmatics 2016 - Sciencesconf.org | geocomputational statistics and GIS | Scoop.it
GISs vision
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A Map Of Where Your Food Originated May Surprise You

A Map Of Where Your Food Originated May Surprise You | geocomputational statistics and GIS | Scoop.it
A new study reveals the full extent of globalization in our food supply. More than two-thirds of the crops that underpin national diets originally came from somewhere else — often far away.
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Neil Bombardier's curator insight, July 18, 2016 6:34 AM
Fascinating map of where your food comes from
Eric Larson's curator insight, July 22, 2016 11:01 AM
Interesting maps. 
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TeradataVoice: Is A Picture Worth A Thousand Words? The Truth About Big Data And Visualisation

TeradataVoice: Is A Picture Worth A Thousand Words? The Truth About Big Data And Visualisation | geocomputational statistics and GIS | Scoop.it
Data visualisation has always been a vital weapon in the arsenal of an effective analyst, enabling complex data sets to be represented efficiently and complex ideas to be communicated with clarity and brevity.
DrDids's insight:
a classic
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Statistics: When Confounding Variables Are Out of Control

Statistics: When Confounding Variables Are Out of Control | geocomputational statistics and GIS | Scoop.it
Does ice cream cause drownings? Let's think about this statistically. Consider that, in any given city, daily sales of ice cream are, most likely, positively correlated with daily rates of drownings.
DrDids's insight:
Isn't it where causation may meet correlation? what about the correlation between drowning and temperature?
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Help Stop TB

Help Stop TB | geocomputational statistics and GIS | Scoop.it
Become part of a global virtual supercomputer modeling and analyzing vulnerabilities in the tuberculosis bacterium
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power of the crowd
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Datafloq - The One-Stop source for Big Data

Datafloq - The One-Stop source for Big Data | geocomputational statistics and GIS | Scoop.it
Datafloq - Connecting Data and People
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This is linking companies to you!
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Overview of GWR Analysis of Spatial Data

Chenliang Wang discusses: - An overview of Geographically Weighted Regression (GWR) analysis of spatial data - Motivation about spatial statistics and GWR wi...

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Interest Group on Agricultural Data (IGAD) Pre-Plenary 11 Meeting, 19 - 20 March 2018, Berlin

Interest Group on Agricultural Data (IGAD) Pre-Plenary 11 Meeting, 19 - 20 March 2018, Berlin | geocomputational statistics and GIS | Scoop.it
Event date: 19 -20 March 2018 Meeting venue: Leibniz-Gemeinschaft in Chausseestraße 111, Berlin  
DrDids's insight:
see also  the  https://ec.europa.eu/research/openscience/index.cfm?pg=open-science-cloud... but think that geocomputational analytics is data and processing! (next step I guess)
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Workshop “Virtual Research Environments: What services should they offer and what e-infrastructures should provide to support them”, 27-28 February 2018, CNR  Pisa 

Workshop “Virtual Research Environments: What services should they offer and what e-infrastructures should provide to support them”, 27-28 February 2018, CNR  Pisa  | geocomputational statistics and GIS | Scoop.it
There is a growing interest in Virtual Research Environments (VREs, also named Science Gateways or Virtual Laboratories) as instruments to support research communities in cooperating and performing their scientific activities. Several VREs are now operational and a number of VRE frameworks have been developed to facilitate their creation. All these components rely on services provided by underlying e-Infrastructures.
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Opensource GIS

Opensource GIS | geocomputational statistics and GIS | Scoop.it
In order to better understand the increasing availability and emerging popularity of opensource GIS options, you first of all need to place it in
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Spatial Statistics one World one Health - Conferences - Elsevier

Welcome to Spatial Statistics, which will be held in Lancaster, UK, from the 4-7 July 2017 under the theme, One World: One Health.Visi
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On Data Quality Assurance and Conflation Entanglement in Crowdsourcing for Environmental Studies

On Data Quality Assurance and Conflation Entanglement in Crowdsourcing for Environmental Studies | geocomputational statistics and GIS | Scoop.it
Volunteer geographical information (VGI), either in the context of citizen science or the mining of social media, has proven to be useful in various domains including natural hazards, health status, disease epidemics, and biological monitoring. Nonetheless, the variable or unknown data quality due to crowdsourcing settings are still an obstacle for fully integrating these data sources in environmental studies and potentially in policy making. The data curation process, in which a quality assurance (QA) is needed, is often driven by the direct usability of the data collected within a data conflation process or data fusion (DCDF), combining the crowdsourced data into one view, using potentially other data sources as well. Looking at current practices in VGI data quality and using two examples, namely land cover validation and inundation extent estimation, this paper discusses the close links between QA and DCDF. It aims to help in deciding whether a disentanglement can be possible, whether beneficial or not, in understanding the data curation process with respect to its methodology for future usage of crowdsourced data. Analysing situations throughout the data curation process where and when entanglement between QA and DCDF occur, the paper explores the various facets of VGI data capture, as well as data quality assessment and purposes. Far from rejecting the usability ISO quality criterion, the paper advocates for a decoupling of the QA process and the DCDF step as much as possible while still integrating them within an approach analogous to a Bayesian paradigm.
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Adaptive Computation: The Multidisciplinary Legacy of John H. Holland

Adaptive Computation: The Multidisciplinary Legacy of John H. Holland | geocomputational statistics and GIS | Scoop.it
John H. Holland's general theories of adaptive processes apply across biological, cognitive, social, and computational systems.

Via Phillip Trotter
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Phillip Trotter's curator insight, August 8, 2016 5:13 AM
I first came across John Holland's work in a an article while I was at High School some 30 years ago. A few years later he kindly answered my questions in an out of the blue phone call and then over the years in conversations at conferences and in emails.  I have always been in awe of the breadth of his vision and interests, intrigued by his ideas and appreciated the fact he would take time to encourage research and passionate discussion. Sadly with his passing last year - we lost a truly original insight. Stephanie Forrest and Melanie Mitchells article for the ACM captures the breadth of his interests, his wonderful legacy of ideas and perhaps more importantly  the example he set in his humanity and generosity. Well worth reading.
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Easier Composite U.S. Choropleths with albersusa

Easier Composite U.S. Choropleths with albersusa | geocomputational statistics and GIS | Scoop.it
Folks who’ve been tracking this blog on R-bloggers probably remember this post where I showed how to create a composite U.S. map with an Albers projection
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the CDC mapping service is interesting as well.
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Science meets farming to reveal Africa’s best bean

Science meets farming to reveal Africa’s best bean | geocomputational statistics and GIS | Scoop.it
As climate change hits home, the race is on to find beans that can withstand random weather patterns.
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Eric Larson's curator insight, July 22, 2016 11:02 AM
Science and the best beans.
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Caravel is a data exploration platform designed to be visual, intuitive, and interactive

Caravel is a data exploration platform designed to be visual, intuitive, and interactive | geocomputational statistics and GIS | Scoop.it
— Permalink
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This should be inspiring
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A great divide in American death: Statistics show widening urban-rural health gap

A great divide in American death: Statistics show widening urban-rural health gap | geocomputational statistics and GIS | Scoop.it
Data suggest risky behaviors are working to defy modern trends of mortality, most starkly among middle-aged white women.
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Share your insight
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Eric Larson's curator insight, July 22, 2016 11:04 AM
Why are death rates climbing?