ENGLISH

Evaluating Participatory Mapping Software

Book information

Publisher
Springer
Year
2023
ISBN
9783031195938, 9783031195945
Language
english
Format
PDF
Filesize
11 MB (11962244 bytes)
Pages
280\280
Time added
2023-07-01 21:33:17

Description

Foreword Acknowledgments Contents About the Editor List of Contributors Abbreviations Chapter 1: Participatory Mapping and Technology 1.1 Introduction to Participatory Mapping 1.2 The Past and Future of Participatory Mapping 1.2.1 Participation and Empowerment 1.2.2 Spatial Knowledge 1.2.3 Technological Capacity 1.3 What to Consider When Choosing a Participatory Mapping Software? 1.3.1 General Information 1.3.2 Ethics 1.3.3 Cost 1.3.4 Technical Level 1.3.5 Inclusiveness 1.3.6 Data Accuracy 1.3.7 Data Privacy 1.3.8 Analytical Capacity 1.3.9 Visualization Capacity 1.3.10 Openness 1.3.11 Accessibility 1.4 Brief Use Case(s) 1.5 Comments and Recommendations 1.6 Volume Overview References Chapter 2: Mapbox 2.1 General Information 2.2 Ethics 2.3 Cost 2.4 Technical Level 2.4.1 Existing Tools or Plug-Ins that Use Mapbox 2.4.2 Mapbox Studio 2.4.3 Mapbox Studio Dataset Editor 2.4.4 Mapbox ‘Impact Tools’ Templates 2.4.5 Custom Applications for Web or Mobile 2.5 Inclusiveness 2.6 Data Accuracy 2.7 Data Privacy 2.8 Analytical Capacity 2.9 Visualization Capacity 2.10 Openness 2.11 Accessibility 2.12 Brief Use Cases 2.13 Comments and Recommendations of the Authors References Chapter 3: Mapeo 3.1 General Information 3.2 Ethics 3.2.1 Center Self Determination and Human Rights: Increase Self-Sufficiency and Reduce Dependence 3.2.2 Local First Software, No Need for Server Dependence 3.2.3 Users Should Be Able to Take Their Data with Them: Export Data into Many Openly Accessible and Flexible Data Formats 3.2.4 Collaborate Through Equity: Design First, Implement Later… Form Direct Partnerships and Work Side-by-Side in Collaborative Design Processes 3.2.5 Challenge Oppression: Data Sovereignty and Power Dynamics 3.3 Cost 3.3.1 Equipment 3.3.2 Technical Support 3.4 Technical Level 3.4.1 Mapeo Mobile 3.4.2 Mapeo Desktop 3.5 Inclusiveness 3.6 Data Accuracy 3.7 Data Privacy 3.7.1 Privacy of the Database 3.7.2 Security of Data, Editing and Data Authenticity 3.7.3 Security of Local Data Storage 3.7.4 Mapeo’s Project Key and Data Encryption 3.7.5 Long-Term Data Storage 3.7.6 Mapeo Websync 3.7.7 Physical Security of Users 3.8 Analytical Capacity 3.9 Visualization Capacity 3.9.1 Mapeo Mobile 3.9.2 Mapeo Desktop Observations Screen 3.9.3 Mapeo Desktop Territory 3.10 Openness 3.11 Accessibility 3.12 Brief Use Cases 3.12.1 Case Study 1: Mapping Farming Landscapes of Costa Grande Mexico Through Mapeo Mobile and Mapeo Desktop, Supported by José Maria León Villalobos 3.12.2 Case Study 2: Mapping Collective Emberá Land in Darien, Panama, Mir Rodríguez Lombardo 3.12.3 Case Study 3: Monitoring Land Incursions and Illegal Activities within Indigenous Territories 3.13 Comments and Recommendations References Chapter 4: Maptionnaire 4.1 General Information 4.2 Ethics 4.3 Costs 4.4 Technical Level 4.5 Inclusiveness 4.6 Data Accuracy 4.7 Data Privacy 4.8 Analytical Capacity 4.9 Visual Capacity 4.10 Openness 4.11 Accessibility 4.12 Brief Use Cases 4.12.1 Case Denver: Inclusive Participation in Community Planning 4.12.2 Helsinki: Walkability of the City Center 4.12.3 Case Turku: Outdoor Recreation in a Pandemic Situation 4.13 Comments and Recommendations References Chapter 5: Sapelli 5.1 General Information 5.1.1 Sapelli Designer 5.1.2 Sapelli Collector 5.1.3 Sapelli Viewer 5.2 Ethics 5.2.1 Free, Prior and Informed Consent 5.2.2 Expensive Technology Among Marginalized Communities 5.2.3 When Mapping Becomes Transactional or Monetized 5.3 Cost 5.3.1 Indirect Costs 5.3.1.1 Hardware 5.3.1.2 Internet 5.3.1.3 Application Costs 5.3.1.4 Geokey/Community Maps (Desktop) 5.3.2 Implications and Maintenance 5.4 Technical Level 5.4.1 Tutorials 5.5 Inclusiveness 5.5.1 Co-design Process 5.5.2 Sapelli Designer and Collector 5.5.3 Viewer 5.6 Data Accuracy 5.7 Data Privacy 5.8 Analytical Capacity 5.9 Visualization Capacity 5.10 Openness 5.11 Accessibility 5.12 Brief Use Case(s) 5.13 Comments and Recommendations References Chapter 6: SeaSketch 6.1 General Information 6.1.1 SeaSketch 2.0 6.2 Ethics 6.3 Cost 6.4 Technical Level 6.4.1 Stakeholders 6.4.2 Members of the Public 6.4.3 Administrators 6.4.4 Developers 6.5 Inclusiveness 6.5.1 Integration of Non-spatial Knowledge 6.5.2 Empowerment of Underprivileged Groups 6.6 Data Accuracy 6.6.1 Survey Tools 6.6.2 Sketching Tools 6.6.3 Reporting 6.7 Data Privacy 6.8 Analytical Capacity 6.8.1 SeaSketch Reports 6.8.2 Geoprocessing Framework 6.8.3 Heatmap Analysis 6.9 Visualization Capacity 6.10 Openness 6.11 Accessibility 6.12 Brief Use Case 6.12.1 SeaSketch Users 6.12.2 SeaSketch Features Used 6.12.3 Support Required 6.12.4 Additional Notes 6.13 Comments and Recommendations References Chapter 7: Sketch Map Tool 7.1 General Information 7.2 Ethics 7.3 Cost 7.4 Technical Level 7.5 Inclusiveness 7.6 Data Accuracy 7.7 Data Privacy 7.8 Analytical Capacity 7.9 Visualization Capacity 7.10 Openness 7.11 Accessibility 7.12 Brief Use Case 7.13 Comments and Recommendations References Chapter 8: Survey123 for ArcGIS Online 8.1 General Information 8.2 Ethics 8.2.1 Provision of Information 8.2.2 Consent of Use 8.2.3 Participation and Survey Design 8.2.4 Feedback 8.3 Cost 8.4 Technical Level 8.5 Inclusiveness 8.6 Data Accuracy 8.7 Data Privacy 8.8 Analytical Capacity 8.8.1 Survey123 Platform: Survey Participants 8.8.2 Survey123 Platform: Survey Authors 8.8.3 Map Viewer: Survey Participants 8.8.4 Map Viewer: Survey Authors 8.8.5 Other Analytical Capacity: Survey Author 8.9 Visualization Capacity 8.10 Openness 8.10.1 Open-Source Software 8.10.2 Open Data 8.10.3 Open Education 8.11 Accessibility 8.12 Brief Use Case 8.13 Comments and Recommendations References Chapter 9: Terrastories 9.1 General Information 9.1.1 Ohneganos Ohnegahdę:gyo 9.2 Ethics 9.2.1 Community Input 9.2.2 Local Community Ethics Protocols 9.2.3 Free, Prior, and Informed Consent 9.2.4 Validating Individual Permissions Settings 9.2.5 Legal Ethics (Specific to a Country or Region) 9.2.6 Ethics Connected to Research within Academic Settings 9.3 Costs 9.3.1 Online Hosting 9.3.2 Offline Hosting 9.3.3 Other Costs 9.4 Technical Level 9.4.1 Front-End: Using and Administering a Terrastories Community 9.4.2 Back-End: Setting Up Terrastories 9.4.3 Training and Capacity-Building 9.5 Inclusiveness 9.6 Data Accuracy 9.7 Data Privacy 9.8 Analytical Capacity 9.9 Visualization Capacity 9.10 Openness 9.11 Accessibility 9.12 Brief Use Case 9.12.1 Living Archive of Haudenosaunee Knowledge 9.12.2 Ohneganos Mapping Team Structure 9.12.3 Ethical Considerations 9.12.4 Training and Capacity Building 9.12.5 Mapping and Data Collection Methodologies 9.13 Comments and Recommendations 9.13.1 Focus on Learning About Implementing Terrastories, How to Use the Tool Is Easy 9.13.2 Terrastories Is Primarily a Data Visualization Tool, Not a Data Collection Tool 9.13.3 Carefully Plan How to Gather, Add, and Manage Data 9.13.4 Ethics Are Central, and Ongoing 9.13.5 Plan for Safekeeping Your Data for the Long Term, in a Responsible Way 9.13.6 Information Gathering Is the Greatest Challenge: Be Innovative References Recommended Readings Chapter 10: Ushahidi 10.1 General Information 10.2 Ethics 10.2.1 Code of Conduct 10.3 Cost 10.4 Technical Level 10.5 Inclusiveness 10.6 Data Accuracy 10.7 Data Privacy 10.8 Analytical Capacity 10.8.1 Data Management 10.8.2 Map View 10.8.3 Data View 10.8.4 Activity View 10.8.5 Saved Searches 10.8.6 Collections 10.9 Visualization Capacity 10.10 Openness 10.11 Accessibility 10.12 Brief Use Case 10.13 Comments and Recommendations References Chapter 11: Trends, Conclusions and Recommendations for the Future of Participatory Mapping Software 11.1 Today’s Participatory Mapping 11.1.1 Benefits of Participatory Mapping 11.1.2 Drawbacks of Participatory Mapping 11.2 Main Takeaways from Major Themes Covered in This Book 11.2.1 Ethics 11.2.1.1 Ethics for the Mapping Software Engineer 11.2.1.2 Ethics for Practitioners and Clients of the Mapping Software 11.2.2 Costs 11.2.3 Technical Level and Analytical Capacity 11.2.3.1 Reducing Barriers by Incorporating End Users’ Experience 11.2.4 Openness & Inclusiveness 11.2.5 Data Accuracy and Security 11.2.6 Visualization Capacity 11.3 Next Steps in the Field of Participatory Mapping Software Development 11.3.1 Defining a Clear Scope 11.3.2 Poor Decision-Making Environments 11.3.3 Resistance to Change 11.3.4 Absence of Technical Documentation 11.3.5 Iterative Procedures 11.4 Conclusion References Appendix A: Participatory Mapping Comparison Chart Index

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