The interactive map creation tools market is experiencing robust growth, driven by increasing demand for visually engaging data representation across diverse sectors. The market's value is estimated at $2 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several factors, including the rising adoption of location-based services, the proliferation of readily available geographic data, and the growing need for effective data visualization in business intelligence and marketing. The individual user segment currently holds a significant share, but corporate adoption is rapidly expanding, propelled by the need for sophisticated map-based analytics and internal communication. Furthermore, the paid use segment is anticipated to grow more quickly than the free use segment, reflecting the willingness of businesses and organizations to invest in advanced features and functionalities. This trend is further amplified by the increasing integration of interactive maps into various platforms, such as business intelligence dashboards and website content. Geographic expansion is also a significant growth driver. North America and Europe currently dominate the market, but the Asia-Pacific region is showing significant promise due to rapid technological advancements and increasing internet penetration. Competitive pressures remain high, with established players such as Google, Mapbox, and ArcGIS StoryMaps vying for market share alongside innovative startups offering specialized solutions. The market's restraints are primarily focused on the complexities of data integration and the technical expertise required for effective map creation. However, ongoing developments in user-friendly interfaces and readily available data integration tools are mitigating these challenges. The future of the interactive map creation tools market promises even greater innovation, fueled by developments in augmented reality (AR), virtual reality (VR), and 3D visualization technologies. We expect to see the emergence of more sophisticated tools catering to niche requirements, further driving market segmentation and specialization. Continued investment in research and development will also play a crucial role in pushing the boundaries of what's possible with interactive map creation. The market presents opportunities for companies to develop tools which combine data analytics and interactive map design.

• 01_RAW_DATA contains 2 CSV files: the first contains all drawings used for the analyse, the second all participations. We made attribute join on session

• 02_MAP_DRAWING contains all drawings split by view (location, style, zoom).

• 03_DRAWING_ANCHORS split drawings by view after manual selection and assignment (Location, style, zoom, drawings_anchor).

• 04_ANCHORS contains the vector delineation of pan-scalar anchors (Location, style, zoom,anchor). See workflow_QGIS AllProcess.excalidraw with excalidraw website

• 05_STATISTIC_DRAWING contains statictical attribute information calculte in xls of drawings (Location, style, zoom,drawings_statistics) See workflow_QGIS AllProcess.excalidraw with excalidraw website

• 06_BOUNDED_ANCHOR contains vector data for anchor lines that have been drawn in the same hue (Location, style, zoom,bounded_anchor). See workflow_QGIS AllProcess.excalidraw- with excalidraw website

• 07_WORFLOW_ANCHOR : Contains all QGIS workflows used for AnchorWhat analysis + See workflow_QGIS AllProcess.excalidraw with excalidraw website

• 08_ILLUSTATIONS contains most of the illustrations for the script

• 09_INITIAL_VIEWS: Contain all the view one wich participants were drawings

• 10_3D_VIEWS : Contain the views where drawing were extruded. The height of each pixel corresponds to the number of drawing divided by the number of participant See workflow_QGIS AllProcess.excalidraw- with excalidraw website

• 11_ANNOTED_VIEWS : Contain the 3D view annoted with the anchors.Linked to the illustration folder.

This Story Map is designed to help teachers to create a web application that is similar to the National Geographic Map Maker app.This application is made with the Atlas ArrcGIS Online Instant App TemplateNo audio is included in any of the videos in this StoryMap

A mapping tool for New Zealand teachers and students in New Zealand Schools created by Eagle Technology and Esri. It is easy-to-use and includes maps and data curated for social studies and earth science curricula.Based on the National Geographic MapMaker this mapping tool allows New Zealand school teachers and teachers to utilise a simple web based tool in the classroom with New Zealand layers available to do simple GIS tasks in New Zealand or an area close to them.

Tick mark indicates that the particular generalization was identified and a cross mark indicates that the generalization was not identified.

The BTOP Map allows the public to visualize the impact of more than $4 billion in broadband investments being made through the American Recovery and Reinvestment Act (Recovery Act). Organizations awarded grants through the Broadband Technology Opportunities Program (BTOP) submit performance reports that summarize their project's progress in advancing broadband access and adoption across the country. These reports can be found on the BTOP website. Drawing on these reports, the BTOP Map allows users to find new infrastructure investments and community institutions connected in their region, locate new and improved public computer centers, and see where efforts to stimulate demand and usage of broadband services (e.g., digital literacy training or free laptop programs) are taking place. Filters enable users to view data by project type, and zooming features help users obtain details on projects in their communities.

We introduce the Lateral Transfer Map (LTM), a tool for students to actively and visually explore the transfer of ideas, skills, and concepts across concurrent coursework. The LTM is an extension of a concept map, replacing interconnected concepts with courses. Just as a concept map represents the interconnectivity of concepts and ideas, the LTM represent the connectedness of courses, illustrating how knowledge and information learned in one course is used in another. LTMs draw from the theory of knowledge transfer across disciplinary domains and contexts. LTMs are appropriate for use in any course; we describe its use in an introductory course for STEM majors to help students understand connections and motivations in first-year courses. LTMs also represent a useful diagnostic for instructors to better understand and address how students view connections (or lack thereof) among disciplines or concurrent coursework.

Primary Image: A lateral transfer map drawn by a student in the Metacognition course to illustrate how she transfers information or skills from one class to another.

Chair Leek Memo: Florida Legislature Launches 2022 Redistricting Website and Map Drawing Application

The City of Fort Collins GIS Online Mapping tool (FCMaps) provide current, timely and local geographic information in an easy to use viewer. FCMaps is mobile friendly and will work well on tablets and smartphones as well as a desktop browser.

Here you will find locations of the Art in Public Places projects.

Learn how to add points, lines and polygons within a sketch layer in the ArcGIS Online Map Viewer.

Final approved map by the 2020 California Citizens Redistricting Commission for California's United States Congressional Districts; the authoritative and official delineations of California's United States Congressional Districts drawn during the 2020 redistricting cycle. The Citizens Redistricting Commission for the State of California has created statewide district maps for the State Assembly, State Senate, State Board of Equalization, and United States Congress in accordance, with the provisions of Article XXI of the California Constitution. The Commission has approved the final maps and certified them to the Secretary of State.Line drawing criteria included population equality as required by the U.S. Constitution, the Federal Voting Rights Act, geographic contiguity, geographic integrity, geographic compactness, and nesting. Geography was defined by U.S. Census Block geometry.Each of the 52 Congressional districts apportioned to California have an ideal population of 760,066, and the Commission adhered to federal constitutional mandates by requiring a district population deviation of no more than +/- one person. These districts also posed some of the Commission’s biggest challenges, and, because of strict population equality requirements, resulted in many more splits of counties, cities, neighborhoods, and communities of interest compared to State Assembly or Senate plans.

Percentage agreement of the results from our online tool to the majority of the participants.

ORDINANCE NO. 6364AN ORDINANCE OF THE BOARD OF SUPERVISORS OF THE COUNTY OF SONOMA, STATE OF CALIFORNIA, ADOPTING REVISED SUPERVISORIAL DISTRICT BOUNDARIES FOR ALL OF THE SUPERVISORIAL DISTRICTS OF THE COUNTY, REPEALING SONOMA COUNTY CODE SECTION 1-8, AND DIRECTING COUNTY STAFF TO MAINTAIN FOR AT LEAST TEN YEARS THE COUNTY'S REDISTRICTING WEBSITE TO CONTINUE TO INFORM THE PUBLIC ABOUT THE REDISTRICTING PROCESS AND THE REVISED BOUNDARIES.The Board of Supervisors of the County of Sonoma, State of California, ordains as follows:Section I. Public Participation. The Sonoma County Board of Supervisors has taken steps above and beyond the requirements of Elections Code Section 21508 to engage the community and invite public participation in the supervisorial boundary redistricting process. The Board has encouraged residents, including those in underrepresented communities and non-English speaking communities, to participate in the redistricting public review process. These steps have included all of the following:Provided information to media organizations that provide county news coverage, including media organizations that serve language minority communities.Provided information through good government, civil rights, civic engagement, and community groups or organizations that are active in the county, including those active in language minority communities, and those that have requested to be notified concerning county redistricting.Arranged for live translation in Spanish at redistricting public hearings and workshops.The County retained a public outreach and local engagement consultant who performed 34 Community Engagement Opportunities (including 13 focus group sessions; 16 group or radio presentations; 3 Town Halls; 2 map drawing parties).On February 23, 2021, the Board established the Sonoma County Advisory Redistricting Commission (ARC) to advise and assist the Board with redrawing supervisorial district boundaries. The ARC had 19 members, comprised of two appointees per district and nine at-large members.On June 28, 2021, the ARC held its first public meeting to learn about redistricting and listen to public comment.On July 26, 2021, the ARC held another public meeting to continue to discuss the redistricting process and listen to public input.On August 23, 2021, the ARC held a public hearing to discuss redistricting, receive public input about communities of interest, and learn about mapping tools.On September l, 2021, the ARC held a meeting to consider the redistricting process, receive map-drawing training and listen to public feedback.On September 13, 2021, the ARC held a meeting to discuss equity.On September 15, 2021, the County held a Town Hall meeting to review the redistricting process and how the public can provide input.On October 5, 2021, the Sonoma County Board of Supervisors held a public hearing to review the new census data and discuss the redistricting process.On October 18, 2021, the ARC held a duly noticed public meeting to consider draft supervisorial district maps.On October 18, 2021, the ARC held a duly noticed public meeting to consider draft supervisorial district maps.On October 22, 2021, the ARC held a duly noticed public meeting to discuss the draft maps and listen to public feedback.On October 25, 2021, the ARC held a duly noticed public meeting to discuss the draft maps, listen to public feedback and vote on a proposed supervisorial district map to present to the Board of Supervisors. The ARC recommended the Board continue to listen to public feedback and update the map to respond to continued community input and comply with federal and state laws.On November 2, 2021, the Board held a public hearing to consider the ARC's proposed map and recommendations.On November 16, 2021, the Board held a public hearing to consider proposed maps and continue to listen to public feedback.On November 22, 2021, County staff held a Town Hall meeting focused on the City of Rohnert Park's comments and to gather public input;On November 29, 2021, the Board held a public workshop to consider a proposed map and continue to listen to public input.On December 7, 2()21, the Board held a final public hearing to introduce, waive reading and consider adoption of an ordinance to adopt a new supervisorial district map.Section Il. Information Gathered. The Board has considered the 2020 federal census data, the ARC's recommendations, in addition to all of the other community input through the ARC process, as well as the Board's own public hearings, the public workshop and additional public comments. Additionally, the Board also retained a demographer, National Demographics Corporation, to analyze the population and demographic data. Since the release of the 2020 federal census data, the ARC and the Board have considered numerous variations of the supervisorial district boundaries to ensure the final version of the map satisfies the criteria of federal and state law. Based on that information and community input, the Board has developed the final revised County of Sonoma supervisorial district boundaries as specified and set forth in the map attached to this ordinance as Attachment A ("Revised Sonoma County Supervisorial District Boundaries").Section Ill. Findings. Based on the information gathered as set forth above, the Board makes the following findings:The Revised Sonoma County Supervisorial District Boundaries are based on the total population of residents of the county as determined by the 2020 federal decennial census;The Revised Sonoma County Supervisorial District Boundaries comply with the United States Constitution, the California Constitution, and the federal Voting Rights Act of 1965 (52 U.S.C. Section 10301 et seq.);The Revised Sonoma County Supervisorial District Boundaries comply with California Elections Code Section 21500 because those boundaries have been developed in accordance with these criteria as set forth in the following order of priority:To the extent practicable, the supervisorial districts are geographically contiguous;To the extent practicable, the geographic integrity of local neighborhoods and local communities of interest are respected in a manner that minimizes their division;To the extent practicable, the geographic integrity of a city or census designated place is respected in a manner that minimizes its division;The Revised Supervisorial District Boundaries are easily identifiable and understandable by residents and to the extent practicable are bounded by natural and artificial barriers, by streets, or by the boundaries of the county;To the extent practicable, and where it does not conflict with the preceding criteria above, the Revised Supervisorial District Boundaries are geographically compact; andThe Revised Supervisorial District Boundaries have not been developed for the purpose of favoring or discriminating against a political party.Communities of Interest. Based on public comment received during the Public Participation process set forth in Section I above, the Board has determined that the following are communities of interest as defined in Elections Code Section 21500(c)(2) because these are populations that share common social or economic interests that should be included within a single supervisorial district for purposes of effective and fair representation:Roseland has recently been annexed to the City of Santa Rosa and shares socioeconomic characteristics with Moorland; both areas represent a community of interest that should be included within a single supervisorial district that includes portions of the downtown area of Santa Rosa for purposes of effective and fair representation;Coastal communities share common interests and should remain within one supervisorial district for the purposes of effective and fair representation;Russian River communities share common social and economic interests and should remain within one supervisorial district for purposes of effective and fair representation;Coffey Park-Larkfield-Mark West-Wikiup community shares common interests and should remain within one supervisorial district for purposes of effective and fair representation;The Springs area (Eldridge, Fetters Hot Springs, Agua Caliente, Boyes Hot Springs) share common interests and should remain within one supervisorial district for purposes of effective and fair representation; andThe community within the Bennett Valley Area Plan, approved by the Sonoma County Board of Supervisors in Resolution No. 11-0461, on September 30, 2011, share common interests and should remain within one supervisorial district for purposes of effective and fair representation.Section IV. Adoption Procedures. California Elections Code Section 21500(e) allows the County to adopt supervisorial district boundaries by resolution or ordinance and clarifies that revised supervisorial district boundary adoption occurs on the date of passage of such ordinance or resolution. The Revised Sonoma County Supervisorial District Boundaries attached hereto as Attachment A have been posted on the County'sRedistricting website at https://sonomacounty.ca.gov/CAO/Policy-Grants-and-SpeciaIProjects/2021-Redistricting/for at least seven days prior to final adoption in compliance with Elections Code SectionSection V. Adoption of Revised Sonoma County Supervisorial District Boundaries. Based on the above findings and adoption procedures, the Board hereby determines that the Revised Sonoma County Supervisorial District Boundaries comply with all federal and state laws. Accordingly, the Board hereby adopts the Revised Sonoma County Supervisorial District Boundaries.Section VI. Posting on County's Redistricting Website. In compliance with Elections Code Section 21508(g), the Board directs County staff to maintain the County of Sonoma's Redistricting website at https://sonomacounty.ca.gov/CAO/Policy-Grants-and-Special-Projects/2021-Redistrictingfor at least 10 years after the adoption of new supervisorial district

This photo map allows a user to view the thousands of photographs collected as part of the NWT Ecosystem Classification program, in reference to the NWT landscape. Photos are viewable by zooming in to a minimum scale of 1:1,000,000 then hovering over a photo point to pop-up the image(s) at that location. At that scale, the flight lines turn off and the photo points turn on. A user may also generate reports of a selected photo(s) and its attributes by using the 'Create a Photo Summary Report' and using the drawing tools to make your selection. For more information, please visit the Forest Resources website:

The National Hydrography Dataset Plus High Resolution (NHDplus High Resolution) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US Geological Survey, NHDPlus High Resolution provides mean annual flow and velocity estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses.For more information on the NHDPlus High Resolution dataset see the User’s Guide for the National Hydrography Dataset Plus (NHDPlus) High Resolution.Dataset SummaryPhenomenon Mapped: Surface waters and related features of the United States and associated territoriesGeographic Extent: The Contiguous United States, Hawaii, portions of Alaska, Puerto Rico, Guam, US Virgin Islands, Northern Marianas Islands, and American SamoaProjection: Web Mercator Auxiliary Sphere Visible Scale: Visible at all scales but layer draws best at scales larger than 1:1,000,000Source: USGSUpdate Frequency: AnnualPublication Date: July 2022This layer was symbolized in the ArcGIS Map Viewer and while the features will draw in the Classic Map Viewer the advanced symbology will not. Prior to publication, the network and non-network flowline feature classes were combined into a single flowline layer. Similarly, the Area and Waterbody feature classes were merged under a single schema.Attribute fields were added to the flowline and waterbody layers to simplify symbology and enhance the layer's pop-ups. Fields added include Pop-up Title, Pop-up Subtitle, Esri Symbology (waterbodies only), and Feature Code Description. All other attributes are from the original dataset. No data values -9999 and -9998 were converted to Null values.What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer or a map containing it can be used in an application. Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Apply filters. For example you can set a filter to show larger streams and rivers using the mean annual flow attribute or the stream order attribute.Change the layer’s style and symbologyAdd labels and set their propertiesCustomize the pop-upUse as an input to the ArcGIS Online analysis tools. This layer works well as a reference layer with the trace downstream and watershed tools. The buffer tool can be used to draw protective boundaries around streams and the extract data tool can be used to create copies of portions of the data.ArcGIS ProAdd this layer to a 2d or 3d map.Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class.Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the ArcGIS Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

Web App. Use the tabs provided to discover information about map features and capabilities. Link to Metadata. A variety of searches can be performed to find the parcel of interest. Use the Query Tool to build searches. Click Apply button at the bottom of the tool.Query by Name (Last First) (e.g. Bond James)Query by Address (e.g. 41 S Central)Query by Locator number (e.g. 21J411046)Search results will be listed under the Results tab. Click on a parcel in the list to zoom to that parcel. Click on the parcel in the map and scroll through the pop-up to see more information about the parcel. Click the ellipse in the Results tab or in the pop-up to view information in a table. Attribute information can be exported to CSV file. Build a custom Filter to select and map properties by opening the Parcels attribute table:1. Click the arrow tab at the bottom middle of the map to expand the attribute table window2. Click on the Parcels tab3. Check off Filter by map extent4. Open Options>Filter5. Build expressions as needed to filter by owner name or other variables6. Select the needed records from the returned list7. Click Zoom to which will zoom to the selected recordsPlease note that as the map zooms out detailed layers, such as the parcel boundaries will not display.In addition to Search capabilities, the following tools are provided:MeasureThe measure tool provides the capabilities to draw a point, line, or polygon on the map and specify the unit of measurement.DrawThe draw tool provides the capabilities to draw a point, line, or polygon on the map as graphics. PrintThe print tool exports the map to either a PDF or image file. Click Settings button to configure map or remove legend.Map navigation using mouse and keyboard:Drag to panSHIFT + CTRL + Drag to zoom outMouse Scroll Forward to zoom inMouse Scroll Backward to zoom outUse Arrow keys to pan+ key to zoom in a level- key to zoom out a levelDouble Click to Zoom inFAQsHow to select a parcel: Click on a parcel in the map, or use Query Tool to search for parcel by owner, address or parcel id.How to select more than one parcel: Go to Select Tool and choose options on Select button.How to clear selected parcel(s): Go to Select Tool and click Clear.

Internal view of the parcel layer. This view contains all the attributes that can be seen by County employees.There are approximately 51,300 real property parcels in Napa County. Parcels delineate the approximate boundaries of property ownership as described in Napa County deeds, filed maps, and other source documents. GIS parcel boundaries are maintained by the Information Technology Services GIS team. Assessor Parcel Maps are created and maintained by the Assessor Division Mapping Section. Each parcel has an Assessor Parcel Number (APN) that is its unique identifier. The APN is the link to various Napa County databases containing information such as owner name, situs address, property value, land use, zoning, flood data, and other related information. Data for this map service is sourced from the Napa County Parcels dataset which is updated nightly with any recent changes made by the mapping team. There may at times be a delay between when a document is recorded and when the new parcel boundary configuration and corresponding information is available in the online GIS parcel viewer.From 1850 to early 1900s assessor staff wrote the name of the property owner and the property value on map pages. They began using larger maps, called “tank maps” because of the large steel cabinet they were kept in, organized by school district (before unification) on which names and values were written. In the 1920s, the assessor kept large books of maps by road district on which names were written. In the 1950s, most county assessors contracted with the State Board of Equalization for board staff to draw standardized 11x17 inch maps following the provisions of Assessor Handbook 215. Maps were originally drawn on linen. By the 1980’s Assessor maps were being drawn on mylar rather than linen. In the early 1990s Napa County transitioned from drawing on mylar to creating maps in AutoCAD. When GIS arrived in Napa County in the mid-1990s, the AutoCAD images were copied over into the GIS parcel layer. Sidwell, an independent consultant, was then contracted by the Assessor’s Office to convert these APN files into the current seamless ArcGIS parcel fabric for the entire County. Beginning with the 2024-2025 assessment roll, the maps are being drawn directly in the parcel fabric layer.Parcels in the GIS parcel fabric are drawn according to the legal description using coordinate geometry (COGO) drawing tools and various reference data such as Public Lands Survey section boundaries and road centerlines. The legal descriptions are not defined by the GIS parcel fabric. Any changes made in the GIS parcel fabric via official records, filed maps, and other source documents are uploaded overnight. There is always at least a 6-month delay between when a document is recorded and when the new parcel configuration and corresponding information is available in the online parcel viewer for search or download.Parcel boundary accuracy can vary significantly, with errors ranging from a few feet to several hundred feet. These distortions are caused by several factors such as: the map projection - the error derived when a spherical coordinate system model is projected into a planar coordinate system using the local projected coordinate system; and the ground to grid conversion - the distortion between ground survey measurements and the virtual grid measurements. The aim of the parcel fabric is to construct a visual interpretation that is adequate for basic geographic understanding. This digital data is intended for illustration and demonstration purposes only and is not considered a legal resource, nor legally authoritative.SFAP & CFAP DISCLAIMER: Per the California Code, RTC 606. some legal parcels may have been combined for assessment purposes (CFAP) or separated for assessment purposes (SFAP) into multiple parcels for a variety of tax assessment reasons. SFAP and CFAP parcels are assigned their own APN number and primarily result from a parcel being split by a tax rate area boundary, due to a recorded land use lease, or by request of the property owner. Assessor parcel (APN) maps reflect when parcels have been separated or combined for assessment purposes, and are one legal entity. The goal of the GIS parcel fabric data is to distinguish the SFAP and CFAP parcel configurations from the legal configurations, to convey the legal parcel configurations. This workflow is in progress. Please be advised that while we endeavor to restore SFAP and CFAP parcels back to their legal configurations in the primary parcel fabric layer, SFAP and CFAP parcels may be distributed throughout the dataset. Parcels that have been restored to their legal configurations, do not reflect the SFAP or CFAP parcel configurations that correspond to the current property tax delineations. We intend for parcel reports and parcel data to capture when a parcel has been separated or combined for assessment purposes, however in some cases, information may not be available in GIS for the SFAP/CFAP status of a parcel configuration shown. For help or questions regarding a parcel’s SFAP/CFAP status, or property survey data, please visit Napa County’s Surveying Services or Property Mapping Information. For more information you can visit our website: When a Parcel is Not a Parcel | Napa County, CA

Percentage of generalization instances identified by the participants and the online tool.

Input alignment data along with Cardinality and Feature type derived from the input for Sketch A (left) and Sketch B (right).

The Waterproofing Data project explored how to build communities’ resilience to flooding by engaging them in generating the data used to predict when floods will occur. The project team developed a functional citizen-science mobile app prototype and a model school curriculum, which has been successfully co-produced and trialled with more than 300 students from over 20 schools and civil protection agencies of five Brazilian states (Acre, Mato Grosso, Pernambuco, Santa Catarina and Sao Paulo). The app and curriculum enabled the communities involved to democratise flood data, raise awareness of flood risks, and co-design new initiatives to reduce disaster risks to communities. The project invited participants to co-create geospatial data that describes the perceived areas in which flooding impacted their territory. Through this process, the team sought to enhance knowledge about floods among those engaged with the project. This dataset showcases participatory maps of three flood-prone neighbourhoods in Brazil. The maps were co-created and evaluated with the help of community members and school students living in underserved areas. Data was generated using the SketchMap tool https://sketch-map-tool.heigit.org. The tool supported i) printing paper maps of the neighbourhoods, ii) participants' drawings with the areas they perceived flooding risks, and iii) digitising those areas in a format suitable for GIS and cartography. The purpose of this process was to gather input from locals and identify areas that are prone to flooding in the two neighbourhoods. The process minimised personal data collection while the final map shows aggregated data that prevent linking data with the persons who provide it. Initial prints, participant’s notes, and some final maps have Portuguese texts.Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to scientific "centres of expertise", and then flood-related alerts and interventions flow back down through local governments and into communities. Rethinking how flood-related data is produced, and how it flows, can help build sustainable, flood resilient communities. To this end, this project develops three innovative methods around data practices, across different sites and scales: 1) we will make visible existing flows of flood-related data through tracing data; 2) generate new types of data at the local level by engaging citizens through the creation of multi-modal interfaces, which sense, collect and communicate flood data, and; 3) integrate citizen-generated data with other data using geo-computational techniques. These methodological interventions will transform how flood-related data is produced and flows, creating new governance arrangements between citizens, governments and flood experts and, ultimately, increased community resilience related to floods in vulnerable communities of Sao Paulo and Acre, Brazil. The project will be conducted by a highly skilled international team of researchers with multiple disciplinary backgrounds from Brazil, Germany and the UK, in close partnership with researchers, stakeholders and publics of a multi-site case study on flood risk management in Brazil. Furthermore, the methods and results of this case study will be the basis for a transcultural dialogue with government organisations and local administration involved in flood risk management in Germany and the United Kingdom. Researchers used the Sketchmap tool to generate printed base maps of the neighbourhoods for participants. Participants received indications on how to draw sketches of the perceived flooding events and areas on the maps. The sketches were digitised and aggregated for final visualisation. Both participants and researchers discussed their results before generating final maps. The process does not include a collection of personal data or identifiers.