About Myself

My name is Gengchen Mai, a second year MA/Ph.D. student at Space and Time for Knowledge Organization Lab, Department of Geography, University of California, Santa Barbara. My Ph.D. adviser is Prof. Krzysztof Janowicz. My major research field is focused on Geographical Information Science (GIScience) and Semantic Web. Right now, my research is highly focused on spatial data mining, spatial statistic/analysis, Semantic Web, especially Geospatial Semantic technologies.

Before I become a MA/Ph.D. Student at UCSB, I got my B.S. Degree in Geographic Information System from Department of Geographical Information Science, School of Resource and Environmental Sciences, Wuhan University. During my undergraduate study, my research topic, especially undergraduate thesis, is focused on Land Use/Cover Change (LUCC), spatial analysis and spatial statistics.

Research Interests

  • GIScience
  • Semantic Web
  • Geospatial Semantics
  • Spatial Data Mining
  • Spatial Statistic/Analysis
  • Geo-ontology Engineering

Contact

Gengchen Mai

Address:

4829 Ellison Hall

University of California, Santa Barbara

Santa Barbara, CA 93106, USA

Email:

gengchen_mai@geog.ucsb.edu


Education

Graduate Study

Time:

03/17/2017 expected – 06/01/2019 expected (Ph.D.)

09/24/2015 – 03/17/2017 expected (MA)

Institution:

UC Santa Barbara, Santa Barbara, CA, USA 93106

College:

College of Letter & Science

Department:

Department of Geography

Lab:

STKO Lab

Major:

Cartography and GIS (MA/Ph.D.)

Adviser:

Prof. Krzysztof Janowicz

Undergraduate Study

Time:

09/04/2011 – 06/30/2015

Institution:

Wuhan University, Wuhan, Hubei, China 430079

School:

School of Resource and Environmental Sciences

Department:

Department of Geographical Information Science

Major:

Geographic Information System (Bachelor of Science)

Adviser:

Prof. Shiliang Su

Thesis:

Tea Plantation Expansion in Southeast of China: Process, Driving Forces and Ecological Effect


Publication

Book chapters:

1.Song Gao, Gengchen Mai. Mobile GIS and Location-Based Services. In Bo Huang, Thomas J. Cova, and Ming-Hsiang Tsou et al.(Eds): Comprehensive Geographic Information Systems, Elsevier. Oxford, UK..

Peer-reviewed Journal Articles:

3.Shiliang Su, Yaping Wang, Fanghan Luo, Gengchen Mai, Jian Pu. Peri-urban vegetated landscape pattern changes in relation to socioeconomic development. Ecological Indicators 46 (2014) 477–486.

2.Shiliang Su, Yi’na Hu, Fanghan Luo, Gengchen Mai, Yaping Wang. Farmland fragmentation due to anthropogenic activity in rapidly developing region. Agricultural Systems 131 (2014) 87–93.

1.Rui Xiao, Shiliang Su, Gengchen Mai, Zhonghao Zhang, Chenxue Yang. Quantifying determinants of cash crop expansion and their relative effects using logistic regression modeling and variance partitioning. International Journal of Applied Earth Observation and Geoinformation 34 (2015) 258–263.

Conference Paper:

4.Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao. ADCN: An Anisotropic Density-Based Clustering Algorithm, In: Proceedings of the 24th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), October 31 - November 3, 2016, San Francisco Bay Area, California, USA. (Short paper accepted)

3.Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Grant McKenzie. A Linked Data Driven Visual Interface for the Multi-Perspective Exploration of Data Across Repositories, In: Proceedings of 2nd International Workshop on Visualization and Interaction for Ontologies and Linked Data (VOILA2016) co-located with ISWC 2016, October 17 or 18, 2016, Kobe, Japan. (Workshop paper accepted)

2.Song Gao, Rui Zhu, Gengchen Mai. Identifying Local Spatiotemporal Autocorrelation Patterns of Taxi Pick-ups and Drop-offs, In: Proceedings of the 9th International Conference on Geographic Information Science, September 27 - 30, 2016, Montreal, Canada. (Short paper accepted)

1.Krzysztof Janowicz, Yingjie Hu, Grant McKenzie, Song Gao, Blake Regalia, Gengchen Mai, Rui Zhu, Benjamin Adams, and Kerry Taylor. The Moon Landing or Safari? A Study of Systematic Errors and their Causes in Geographic Linked Data, In: Proceedings of the 9th International Conference on Geographic Information Science, September 27 - 30, 2016, Montreal, Canada. (Full paper accepted)

Conference Oral/Poster Presentation:

3. Poster presentation (2016): ADCN: An Anisotropic Density-Based Clustering Algorithm, In 24th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016) , October 31 - November 3, 2016, San Francisco Bay Area, California, USA.

2. Poster presentation (2016): A Linked Data Driven Visual Interface for the Multi-Perspective Exploration of Data Across Repositories, In 12th Reasoning Web Summer School (RW 2016) co-located with 10th International Conference on Web Reasoning and Rule Systems (RR 2016) , September 5 - 9, 2016, Aberdeen, Scotland, UK.

1. Oral presentation (2015): Tea Plantation Expansion in Hangzhou, China: Process, Related factors & Ecological Effect, In 2016 Annual Meeting of AAG: The Quest to Map Plant Species Session, March 28- April 1, 2015, San Francisco, California, USA.


Research Experience & Project

ESRI Linked Data Connecter

The Visualization of 1-4 degree Sister City relationships around Santa Barbara

Graduate Student Researcher in STKO Lab, Department of Geography, UCSB

2016/10 - Present

In this work, we conceptualized and prototypically implemented a Linked Data connector framework as a set of toolboxes for Esri’s ArcGIS. We discussed from within a GIS, how to connect to Linked Data endpoints, how to use ontologies to probe data and derive appropriate GIS representations on-the-fly, how to make use of reasoning, how to derive data that is ready for spatial analysis out of RDF triples, and, most importantly, how to utilize the link structure of Linked Data to enable analysis. The figure at the left side is a result map which is dynamically generated from one of our ArcToolboxes named "Linked Data Relationship Finder from Location Features". The questions is how to dynamically explore and visualize the "Sister City" relationships related to Santa Barbara from Wikidata within ArcGIS. The figure at left side visualizes the 1, 2, 3, 4 degree "Sister City" relationships originated from/pointed to Santa Barbara. This is not an easy task using the current ArcGIS Toolboxes and our work makes this process automatically. This work will be presented at GIS research session in ESRI User Conference 2017. These toolboxes will be available in GeoNet recently.

Alexandria Digital Library

Graduate Student Researcher in STKO Lab, Department of Geography, UCSB

2016/08 - Present

Funded by IOS Press

Alexandria Digital Library (ADL) is UC Santa Barbara Library's home for collections of digital research materials. This project aims at leveraging Semantic Web technologies, especially GeoSPARQL, to facilitate the spatial/no-spatial query of ADL Gazetteer and dynamically visualize the results (See ADL Map Interface bellow). What's more, the geographic features and their related attributes have been published as Linked Data through ADL Linked Data Visualizer. Right now, the ADL Gazetteer data has been held and managed in a modified version of Apache Marmotta triple store in which GeoSPARQL is enabled. Thanks to all the help from STKO lab members, two different interfaces have been established to facilitate users to interactively explore the geographic data in ADL Gazetteer which are list bellow:

ADL Map Interface:

http://adl-gazetteer.geog.ucsb.edu/

This is a map interface to help users do spatial/no-spatial queries on ADL Gazetteer. For example, the user can use the interface to find all the entities in "administrative region" class in current map layout whose label contains "paris". GeoSPARQL is used to do spatial queries. Acknowledge to Grant McKenzie and Bo Yan.

ADL Linked Data Visualizer:

Santa Barbara County - California - United States

This is a Map and Table Visualiser which are used to publish all the entities and entity types in ADL Gazetteer as Linked Data. "Linked Data" is an idea or a standard of making semantically-annotated raw data available on the Web. In our ADL Gazetteer, each geographic feature has a Unique URI which can be dereferenced to a Map and Table Visualizer for this feature. For example, the IRI of Santa Barbara County in California is http://adl-gazetteer.geog.ucsb.edu/ADL/santa_barbara_county_414. By dereferencing this link, an interface will show up that contains the attribute table which holds its one-degree information (subject node) and reverse one-degree information (object node) and a map which shows its geographic location. Acknowledge to Blake Regalia.

GeoLink

Graduate Student Researcher in National Center for Ecological Analysis and Synthesis (NCEAS), UCSB

2016/01 - 2016/04

Funded by NSF EarthCube program

GeoLink is a building block project of EarthCube project. It aims at building up a oceanography data integration framwork for seven data repositories and a collections of Ontology Design Patterns. My contribution in this project is creating a graph visualizer to query the paths between two entities. This graph visualizer help the user to discover the data by follow-your-nose search across different data repositories.

Paper: A Linked Data Driven Visual Interface for the Multi-Perspective Exploration of Data Across Repositories

URL: http://demo.geolink.org/

Undergraduate Research & Thesis

Thesis Topic:

Tea Plantation Expansion in Southeast of China: Process, Driving Forces and Ecological Effect

The coupling mechanism of farmland’s service function and landscape fragmentation

2014/01 - 2015/07

Funded by the Fundamental Research Funds for the Central Universities (No. 2042014kf0048)

The construction of generalization classifier by using phenological index to extract the farmland information

2014/01 - 2015/12

Funded by Open Research Fund Program of Key Laboratory of Digital Mapping and Land Information Application Engineering, National Administration of Surveying, Mapping and Geoinformation (No. GCWD201404)

Recently, tea plantation expansion has become a typical land use change in the subtropical zone of China. My experiment integrated remote sensing, spatial analysis deriving from geographic information system, landscape metric analysis and spatial regression, to quantify the socioeconomic indicators of tea plantation expansion and its effects on landscape pattern, with a case of Hangzhou, China, from 2004 to 2013. Main results showed that: (1) Hangzhou has undergone great tea plantation expansion, about 54975.9 ha, from 2004 to 2013. (2) Tea plantation expansion is highly related to some physical, social, and economical factors: slope, elevation, distance to water bodies, distance to roads, distance to socioeconomic centers, public financial revenue and per capita average income of farmers. (4) Tea plantation expansion would make the landscape become fragmentized, complex and irregular. Our study contributed to understanding the socioeconomic indicators of tea plantation expansion and its effects on landscape pattern in subtropical China.

URL: This research has been presented in 2016 Annual Meeting of AAG, The Quest to Map Plant Species Session.

Sina-Blog Check-in Project

Project leader: The Extraction of Point of Interest Based on Multi-source Check-in Data

2013/05 - 2015/06

Funded by Planning Project of Innovation and Entrepreneurship Training of National Undergraduate of Wuhan University (No.1310486034)

As a project leader of this undergraduate training project, I developed a C# Application to get check-in data form Sina-blog. And then we evaluated the effect of the construction of Wuhan Subway Line 2 on the spatial distribution of Sina-Blog Check-in data.

URL: Flow Analysis and Research on Subway Based on "Sina micro-blog" Registration data

GIS & Cartography Course Project

A One month GIS & Cartography Course project

2014/12 - 2015/01

I made two maps of Hengche County by ArcGIS Deasktop. Left one shows the current land use map of Hengche County. The right one shows the Current land use stucture of Hengche County.


Award

2016/09/27 - 2016/09/30

The Jack & Laura Dangermond Travel Scholarship for the 9th International Conference on Geographic Information Science (GIScience 2016)

2016/09/05 - 2016/09/09

NSF Student Fellowship for 12th Reasoning Web Summer School (RW2016)

2016/09/05 - 2016/09/09

The Jack & Laura Dangermond Travel Scholarship for 12th Reasoning Web Summer School (RW2016)

2016/03/29 - 2016/04/02

The Jack & Laura Dangermond Travel Scholarship for 2016 AAG Annual Meeting

2015/09

UCSB Geography Doctoral Scholars Fellowship

2015/06

Outstanding Undergraduate of Wuhan University

2013/09 - 2014/06

China National Fellowship

2013/09 - 2014/06

First-class scholarship and Merit Student of School of Resource and Environmental Sciences, Wuhan University

2012/09 - 2013/06

China National Fellowship

2012/09 - 2013/06

First-class scholarship and Merit Student of School of Resource and Environmental Sciences, Wuhan University

2011/09 - 2012/06

China National Fellowship

2011/09 - 2012/06

First-class scholarship and Merit Student of School of Resource and Environmental Sciences, Wuhan University


Service

Academic Service:

2017/01 - Present

UCSB Cognitive Science Program Manager

Student Activity:

2011/09 - 2013/06

Undersecretary of Department of Life and Welfare in the Students' Union of School of Resource and Environmental Sciences, Wuhan University


Teaching

Class Name:

GEOG 176C: GIS Application

Role:

Teaching Assistant

Time:

2016 Spring

Institution:

UC Santa Barbara, Santa Barbara, CA, USA 93106

Department:

Department of Geography

Instructor:

Prof. Krzysztof Janowicz

Slides:

Week 2

Week 5

Week 10

Class Name:

GEOG 3B: Land, Water and Life

Role:

Teaching Assistant

Time:

2016 Summer Session B

Institution:

UC Santa Barbara, Santa Barbara, CA, USA 93106

Department:

Department of Geography

Instructor:

Brandi Gamelin

Slides:

Week 1

Week 2

Week 3

Week 5



Contact

Gengchen Mai

Address:

4829 Ellison Hall

University of California, Santa Barbara

Santa Barbara, CA 93106, USA

Email:

gengchen_mai@geog.ucsb.edu

Copyright © Gengchen Mai