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LINDA M. SEE
Author Info
Open Visualization
Name
Affiliation
Papers
LINDA M. SEE
Centre for Computational Geography, School of Geography, University of Leeds, Leeds LS2 9JT, UK (e-mail: t.murray,s.openshaw,i.j.turton@leeds.ac.uk) GB
47
Collaborators
Citations
PageRank
135
283
33.23
Referers
Referees
References
812
608
275
Search Limit
100
812
Publications (47 rows)
Collaborators (100 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
A Data Fusion-Based Framework To Integrate Multi-Source Vgi In An Authoritative Land Use Database
0
0.34
2021
Crowdsourcing In-Situ Data Collection Using Gamification
0
0.34
2021
Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change.
0
0.34
2020
Volunteered geographic information: looking towards the next 10 years.
0
0.34
2019
An Exploration of Some Pitfalls of Thematic Map Assessment Using the New Map Tools Resource.
4
0.51
2018
Engaging Citizens In Environmental Monitoring Via Gaming
0
0.34
2018
Integrated Participatory and Collaborative Risk Mapping for Enhancing Disaster Resilience.
3
0.68
2018
Assessing and Improving the Reliability of Volunteered Land Cover Reference Data.
0
0.34
2017
Validation of Automatically Generated Global and Regional Cropland Data Sets: The Case of Tanzania.
1
0.40
2017
The Role of Citizen Science in Earth Observation.
2
0.45
2017
Beyond the urban mask
2
0.43
2017
LACO-Wiki: A New Online Land Cover Validation Tool Demonstrated Using GlobeLand30 for Kenya.
3
0.44
2017
Highlighting Current Trends in Volunteered Geographic Information.
2
0.38
2017
Using OpenStreetMap data to assist in the creation of LCZ maps
1
0.35
2017
Generating Up-to-Date and Detailed Land Use and Land Cover Maps Using OpenStreetMap and GlobeLand30.
8
0.61
2017
Limitations of Majority Agreement in Crowdsourced Image Interpretation.
4
0.51
2017
Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information.
1
0.36
2016
Assessing quality of volunteer crowdsourcing contributions: lessons from the Cropland Capture game.
8
0.71
2016
Crowdsourcing In-Situ Data on Land Cover and Land Use Using Gamification and Mobile Technology.
1
0.37
2016
Towards an Integrated Global Land Cover Monitoring and Mapping System.
0
0.34
2016
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information.
34
2.45
2016
A Combined Satellite-Derived Drought Indicator to Support Humanitarian Aid Organizations.
0
0.34
2016
Classification of Local Climate Zones Using SAR and Multispectral Data in an Arid Environment.
3
0.53
2016
Contributing to WUDAPT: A Local Climate Zone Classification of Two Cities in Ukraine.
1
0.39
2016
Local Knowledge and Professional Background Have a Minimal Impact on Volunteer Citizen Science Performance in a Land-Cover Classification Task.
1
0.37
2016
Assessing the suitability of GlobeLand30 for mapping land cover in Germany.
13
0.81
2016
Investigating the Feasibility of Geo-Tagged Photographs as Sources of Land Cover Input Data.
10
0.60
2016
Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map.
0
0.34
2016
The Cropland Capture Game: Good Annotators Versus Vote Aggregation Methods.
0
0.34
2016
Vote Aggregation Techniques in the Geo-Wiki Crowdsourcing Game: A Case Study.
0
0.34
2016
Usability of VGI for validation of land cover maps
19
0.89
2015
Spatial Analysis as a Transformative Technology for Decision-Making in Environmental Domains
0
0.34
2015
Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities.
23
2.39
2015
Geography Geo-Wiki In The Classroom: Using Crowdsourcing To Enhance Geographical Teaching
0
0.34
2014
Assessing the Accuracy of Volunteered Geographic Information arising from Multiple Contributors to an Internet Based Collaborative Project.
26
1.21
2013
Comparing Expert and Non-expert Conceptualisations of the Land: An Analysis of Crowdsourced Land Cover Data.
3
0.42
2013
Harmonizing and Combining Existing Land Cover/Land Use Datasets for Cropland Area Monitoring at the African Continental Scale
26
2.37
2013
The Rise of Collaborative Mapping: Trends and Future Directions.
3
0.42
2013
Using control data to determine the reliability of volunteered geographic information about land cover.
31
1.92
2013
Crime reduction through simulation: An agent-based model of burglary
20
1.84
2010
Comparison Of Global Land Cover Products: Community Remote Sensing To Validate Areas Of High Disagreement
0
0.34
2010
Symbiotic adaptive neuro-evolution applied to rainfall-runoff modelling in northern England.
3
0.78
2006
Using JavaSANE to Evolve Neural Network Rainfall-Runoff Models
0
0.34
2005
Comparison Of Land Cover Maps Using Fuzzy Agreement
23
3.28
2005
Using Four Different Least-Squared Error Functions to Train a Neural Network Rainfall-Runoff Model
0
0.34
2005
Fusing multi-model hydrological data
0
0.34
1999
Using computational intelligence techniques to model subglacial water systems
4
0.62
1999
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