Spatial Data Science Hangout Series: Reproducibility

The Center for Spatial Studies invites you to join us on Thursday May 20 at 9:00 a.m PT for the next Spatial Data Science Hangout on Reproducibility in Data Science Research. For this special event, we are thrilled to welcome two reproducibility experts as speakers: Daniel Nüst (Institute for Geoinformatics, University of Münster) and Casey O’Hara (BREN School, UC Santa Barbara). 

Don’t miss this event! Everyone is welcome to participate, just keep in mind that these hangouts are meant to be a comfortable environment for graduate students and early career researchers to brainstorm, talk through their imaginative ideas, discuss, and learn from each other.  

To participate in this event, please register here

Upon registration, you will receive a confirmation email with Zoom login details

Casey O’Hara is a PhD candidate in the BREN School at UCSB. After completing his MESM degree in 2014, Casey has worked on the Ocean Health Index, applying data science to communicate the range of economic, ecological, and cultural benefits people can sustainably derive from healthy oceans. In his research, he applies spatial analysis and data science principles to examine the ecological and socioeconomic impacts of human activity and climate change on marine biodiversity.

Abstract: In his talk, Casey will give a short introduction to his paper on better science in less time using open data science tools, including a quick introduction to GitHub for version control and communication, and a comparison of the pros and cons of spatial analysis using ArcMap GIS, ArcMap ModelBuilder, and R. Casey will wrap up his talk by presenting some quick results from his most recent paper: At-risk marine biodiversity faces extensive, expanding, and intensifying human impacts.

Daniel Nüst (https://orcid.org/0000-0002-0024-5046) is a researcher at the Spatio-temporal Modelling Lab at the Institute for Geoinformatics at the University of Münster. Daniel pursues a Ph.D. in the context of the DFG project, Opening Reproducible Research, where he develops tools for creation and execution of research compendia in geography and the geosciences. His professional interest is improving the scholarly publication process with new information technology—of course, with Open Source software! Daniel is reproducibility chair at the AGILE conference series and vice chair of the German association for research software engineering.

Abstract: In his talk, Daniel will give a short introduction to his paper on practical reproducibility in geography and geosciences and present some advanced technologies for reproducibility (notebooks, containers, Binder). Daniel will wrap up his talk by discussing  how reproducibility should be taken into account during peer review and give a brief overview of the initiatives CODECHECK and Reproducible AGILE. 

 

ThinkSpatial: Armin Haller

thinkspatial_log<strong></strong>oThe UCSB forum on spatial technologies presents

What Are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web

Armin Haller

Australian National University

3:00 p.m. (PT)

Thursday, April 8, 2021

The recorded video of this talk can be found here.

Slides can be found here.

 

Abstract. Linked Open Data promises to provide guiding principles to publish interlinked knowledge graphs on the Web in the form of findable, accessible, interoperable, and reusable datasets. I will argue that while as such, Linked Data may be viewed as a basis for instantiating the FAIR principles, there are still a number of open issues that cause significant data quality issues even when knowledge graphs are published as Linked Data. In this talk I will first define the boundaries of what constitutes a single coherent knowledge graph within Linked Data, i.e., present a principled notion of what a dataset is and what links within and between datasets are. I will also define different link types for data in Linked datasets and present the results of our empirical analysis of linkage among the datasets of the Linked Open Data cloud. Recent results from our analysis of Wikidata, which has not been part of the Linked Open Data Cloud, will also be presented.

Bio. Armin Haller is an Associate Professor of Business Information Systems at the Australian National University. His research interests include knowledge graph engineering, ontology engineering, linked data, the Internet-of-Things and the semantic Web in general. Haller has received funding from organisations including: the Department of Finance, to develop an ontology framework for government information and an open-source software that allows domain experts to maintain knowledge graphs called Schímatos; and from the Australian Research Council’s Linkage Program, for a project with Sydney Trains. He has published in the premier journals and conferences in his field, including Semantic Web Journal, Journal of Web Semantics, Applied Ontology, World Wide Web Conference and the International Semantic Web Conference. Haller has been an active contributor to several W3C working groups and chaired the Semantic Sensor Network Ontology working group. This work has resulted in an international standard for the description of sensors and actuators on the Internet-of-Things. Haller is a passionate evangelist of Open Government Data and, to this end, has chaired the Australian Government Linked Data Working Group for the last 7 years.

The objectives of the ThinkSpatial brown-bag presentations are to exchange ideas about spatial perspectives in research and teaching, to broaden communication and cooperation across disciplines among faculty and graduate students, and to encourage the sharing of tools and concepts.

Please contact Marcela Suarez (amsuarez@ucsb.edu), or Karen Doehner (kdoehner@spatial.ucsb.edu)), to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial thinking.

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2021 Lightning Talks

The Center for Spatial Studies’ Lightning Talks are designed to be serious or funny, as long as the mantra is followed: “​Enlighten us, but make it quick​.

This year the talks were held on ​Tuesday, March 16, 2021. This annual series of ​3-minute​ lightning talks typically brings together speakers from across the UCSB campus and the local community to enlighten the crowd on thought-provoking ​spatial topics of all kinds​. Since this year the event was held online, it had much broader participation from across the globe with an exciting lineup of speakers from the spatial community worldwide. See the list of selected speakers and the titles of their talks below. Recorded videos can be found here.

Special note: ​The 2021 annual Center for Spatial Studies ​Lightning Talks​ were dedicated to the memory of Paul Wilson, who was one of the Center’s most avid and constant participants of all things spatial. Paul’s presence at our ongoing activities will be sorely missed. See his 2014 Lighting Talk on Whale Traffic Control: https://escholarship.org/uc/item/6t4627c5

Contact:
Rui Zhu ruizhu@geog.ucsb.edu

Spatial Data Science Hangout Series: Reminder

Our Spatial Data Hangout will take place tomorrow (Thursday), December 3 from 10:00 to 11:00 am (Pacific Time). Please join us for this special session focused on Graph Data and Networks, and led by Rui Zhu, Su Burtner, Gengchen Mai, and Mike Johnson.

Zoom Meeting Link: https://ucsb.zoom.us/j/88693830517?pwd=emUyejFWa0s5K0EyUXNaZVI4bnBEdz09

Meeting ID: 886 9383 0517
Passcode: geohangout

We look forward to seeing you!

ThinkSpatial: Gengchen Mai

thinkspatial_log<strong></strong>oThe UCSB forum on spatial technologies presents

Space2Vec: Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Gengchen Mai

STKO Lab

University of California, Santa Barbara

11:30 a.m. (PT)

Tuesday, Dec 1, 2020

Zoom:  https://ucsb.zoom.us/meeting/register/tZUtcu6rrzosE9VEnfMGptAxbxe4zhNILoHY

Upon registration, you will receive access to this link

Abstract. Unsupervised text encoding models have recently fueled substantial progress in NLP. The key idea is to use neural networks to convert words in texts to vector space representations (embeddings) based on word positions in a sentence and their contexts, which are suitable for end-to-end training of downstream tasks. We see a strikingly similar situation in spatial analysis, which focuses on incorporating both absolute positions and spatial contexts of geographic objects such as POIs into models. A general-purpose representation model for space is valuable for a multitude of tasks. However, no such general model exists to date beyond simply applying discretization or feed-forward nets to coordinates, and little effort has been put into jointly modeling distributions with vastly different characteristics, which commonly emerges from GIS data. Meanwhile, Nobel Prize-winning Neuroscience research shows that grid cells in mammals provide a multi-scale periodic representation that functions as a metric for location encoding and is critical for recognizing places and for path-integration. Therefore, we propose a representation learning model called Space2Vec to encode the absolute positions and spatial relationships of places. We conduct experiments on two real-world geographic data for two different tasks: (1) predicting types of POIs given their positions and context, (2) image classification leveraging their geo-locations. Results show that because of its multi-scale representations, Space2Vec outperforms well-established ML approaches such as RBF kernels, multi-layer feed-forward nets, and tile embedding approaches for location modeling and image classification tasks. Detailed analysis shows that all baselines can at most well handle distribution at one scale but show poor performances in other scales. In contrast, Space2Vec ’s multi-scale representation can handle distributions at different scales.

 

Bio. Gengchen Mai is a Ph.D. candidate at the Space and Time for Knowledge Organization Lab in the Department of Geography, University of California, Santa Barbara. His Ph.D. adviser is Prof. Krzysztof Janowicz. His research interests include Machine Learning/Deep Learning, GIScience, Geographic Question Answering, NLP, Geographic Information Retrieval, Knowledge Graph, and Semantic Web. Currently, Mai’s research is highly focused on Geographic Question Answering and Spatially-Explicit Machine Learning models. He received his B.S. Degree in Geographic Information System from Wuhan University. Thus far, he has completed four AI/ML research-based internships at Esri Inc., SayMosaic Inc., Apple Map, and Google X. He now serves as a machine learning consultant/advisor for Google X.

The objectives of the ThinkSpatial brown-bag presentations are to exchange ideas about spatial perspectives in research and teaching, to broaden communication and cooperation across disciplines among faculty and graduate students, and to encourage the sharing of tools and concepts.

Please contact Marcela Suarez (amsuarez@ucsb.edu), or Karen Doehner (kdoehner@spatial.ucsb.edu)), to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial thinking.

Follow spatial@ucsb on Twitter | Google+ | Google Calendar

ThinkSpatial: Patricia Murrieta-Flores

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On Tuesday, November 24, 2020, the UCSB forum on spatial thinking presents

Subaltern Spatial Thinking: Towards a decolonial approach to spatial technologies

 

Patricia Murrieta-Flores

Lancaster University

11:30 a.m. Tuesday, November 24, 2020 | Zoom*

Abstract:

The quick emergence of digital technologies and the rise of the use of computational approaches and tools in all disciplines have substantially changed the ways that we do research, expediting and placing at our fingertips datasets and information at a scale that was impossible before. While our societies have enthusiastically embraced this change, technologies are neither unbiased nor innocent. In the wake of Geographic Information Systems (GIS), a now-ubiquitous tool, disciplines such as history and archaeology have adopted this technology for the study of the past. This is well represented in the creation of the field called the Spatial Humanities. Rooted in a modern, western and Cartesian conception of space, while GIS has proved invaluable to advance both research and discussions related to geography, space and place in these fields, there is the need for critical reflection regarding its use, and to work towards the development of more inclusive spatial tools. Given GIS’ increasing popularity in Humanities research worldwide, and especially its emergence in the Global South, I will present a case study from research produced in the project “Digging into Early Colonial Mexico: A large-scale computational analysis of 16th century historical sources”, aiming to showcase how through the analysis of Mesoamerican spatial thinking, we can highlight the need of carefully considering the use of particular technologies in historical research, and discuss a decolonial approach to technology.

Bio:

Patricia Murrieta-Flores is Senior Lecturer and Co-Director of Digital Humanities at Lancaster University. Her interest lies in the application of technologies for Humanities and her primary research area is the Spatial Humanities. Her main focus is the investigation of different aspects of space, place and time using a range of technologies including GIS, NLP, Machine Learning and Corpus Linguistics approaches. Patricia is the PI on the Transatlantic Platform (T-AP) funded project ‘Digging into Early Colonial Mexico: A large-scale computational analysis of 16th century historical sources’, and also collaborator and Co-I in multiple projects funded by the ERC, ESRC, AHRC, HERA, and the Paul Mellon Centre among others. She has edited and contributed to multiple books on Digital Humanities, Cultural Heritage, the use of GIS and other technologies in Archaeology, History, and Literature, and she has published multiple articles exploring theories and methodologies related to space and place. She is currently Executive Board Secretary Elect of the Alliance of Digital Humanities Organizations (ADHO).

The objectives of the ThinkSpatial brown-bag presentations are to exchange ideas about spatial perspectives in research and teaching, to broaden communication and cooperation across disciplines among faculty and graduate students, and to encourage the sharing of tools and concepts.

Please contact Marcela Suarez (amsuarez@ucsb.edu), Karen Doehner (kdoehner@spatial.ucsb.edu), or Emmanuel Papadakis (epd@ucsb.edu), to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial thinking.

*This talk is a part of the spatial series Knowledge Representation and GeoHumanities; upon registration, you can access all the talks of the series using the provided link.

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ThinkSpatial: Konstadinos Goulias

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On Tuesday, April 28, 2020, the UCSB forum on spatial thinking presents

Life Cycle Stages, Daily Contacts, and Activity—Travel Time Allocation for the Benefit of Self and Others

 

Konstadinos G. Goulias

Department of Geography
University of California, Santa Barbara

11:30 a.m. (PST) Tuesday, April 28, 2020

Zoom: https://ucsb.zoom.us/j/96140245863

Abstract:

In this research, we study the correlation between life cycle stages and time allocation for the benefit of self and others. Life cycle stages are defined based on age, employment, family status, and disabilities. Time allocation is classified based on the people with whom each respondent came into contact and for whom he or she performed activities and travel. Based on a two-day time use diary, daily time allocation is classified in social fields that we define as family, friends, schoolmates, co-workers, clubmates, among others. We also include time for sleeping and activities and personal travel. The data analysis creates a taxonomy using cluster analysis of time-of-day activity sequences, complexity of time schedules, and uncovers its correlation with life cycle stages.

Bio:
Since 2004, Konstadinos (Kostas) G. Goulias has been a Professor of Transportation at the Department of Geography at the University of California, Santa Barbara. From 1991 to 2004 he was Professor of Transportation in the Department of Civil and Environmental Engineering of PennState University, where he also directed research centers. His research is on large-scale transportation systems modeling and simulation, travel behavior dynamics, sustainable transportation, smart cities, economic geography, travel survey methods, geocomputation, and geoinformation. He chairs the International Association for Travel Behaviour Research and he is the co-editor-in-chief of Transportation Letters an international peer-reviewed journal published by Taylor and Francis. He received a Laurea (5 years and a thesis equivalent to M.S.) in Engineering from the University of Calabria (Italy) in 1986, an M.S. in Engineering from the University of Michigan, Ann Arbor, in 1987, and a Ph.D. in Engineering from University of California Davis, in 1991.

The objectives of the ThinkSpatial presentations are to exchange ideas about spatial perspectives in research and teaching, to broaden communication and cooperation across disciplines among faculty and graduate students, and to encourage the sharing of tools and concepts.

Please contact Emmanuel Papadakis (epd@ucsb.edu) to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial thinking.

Follow spatial@ucsb on Twitter | Google+ | Google Calendar

ThinkSpatial: George Baryannis

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On Tuesday, April 21, 2020, the UCSB forum on spatial thinking presents

Qualitative Spatial Reasoning Using Answer Set Programming

 

George Baryannis

Department of Computer Science
University of Huddersfield, UK

11:30 a.m. Tuesday, April 21, 2020 | Zoom meeting room:

https://ucsb.zoom.us/j/96140245863

Abstract:

Spatial (and temporal) information is often expressed using qualitative terms such as natural language expressions instead of coordinates; reasoning over such terms has several practical applications, such as naval traffic monitoring, warehouse process optimization, and robot manipulation. Well over 40 qualitative calculi have been proposed so far, including Allen’s interval algebra and the Region Connection Calculus. Reasoning with such calculi has been the focus of extensive research within the wider AI community, with a number of specialized reasoning tools developed. One barrier to the wide adoption of these tools is that only qualitative reasoning is supported natively when real-world problems most often require a combination of qualitative and other forms of reasoning.

I will discuss research to overcome this barrier (conducted at the University of Huddersfield, UK, and the University of Calabria, Italy), focusing on using Answer Set Programming (ASP) as a unified formalism to tackle problems that require qualitative reasoning in addition to non-qualitative reasoning. ASP is a logic-based knowledge representation and reasoning approach that includes a rich but simple modeling language and is capable of handling search problems of high complexity. Research is motivated by two case studies: reasoning about the relations among large numbers of trajectories and determining optimal coverage of telecommunication antennas.

Bio:
George Baryannis is Senior Lecturer (Associate Professor) at the Department of Computer Science of the University of Huddersfield, UK. He received his Dipl.Eng. in Electronic and Computer Engineering from the Technical University of Crete, Greece, and his M.Sc. and Ph.D. in Computer Science from the University of Crete, Greece. His teaching and research interests lie within Artificial Intelligence, mainly focusing on knowledge representation and reasoning, machine learning, and interpretability, as well as applications in supply chain risk management, smart homes, and service-oriented computing.

Material:

ThinkSpatial-QSRASP

 

The objectives of the ThinkSpatial presentations are to exchange ideas about spatial perspectives in research and teaching, to broaden communication and cooperation across disciplines among faculty and graduate students, and to encourage the sharing of tools and concepts.

Please contact Emmanuel Papadakis (epd@ucsb.edu) to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial thinking.

Follow spatial@ucsb on Twitter | Google+ | Google Calendar