Podívejte se v praxi
Od sběru dat k poznatkům
Lidé hlásí problémy, sbírají nápady a mapují důležitá místa, vždy s fotkou a polohou.
Obrázky ukazují jako příklad mapu závad. Pro vlastní studie si kategorie a vlastnosti nastavíte sami.
- 1M+ hlášení od roku 2011
- Open Source
- Open311 GeoReport v2
- Hostováno v EU
Vyzkoušet živě:demo.mark-a-spot.com/amsterdam
Potřebuješ správu budov, vlastní WMS vrstvy, strukturovaná datová pole pro každý stav workflow nebo nastavení pro více obvodů a měst? Prozkoumej celou platformu namark-a-spot.com
Co je Research & Field Data Collection?
Field data collection with Mark-a-Spot works on any smartphone or tablet. Research teams define their observation categories, each with custom attributes (species name, condition rating, sample type, or whatever the study requires). Contributors open the map, drop a pin at their location, take a photo, fill in the attributes, and submit. The record carries GPS coordinates from the device, a timestamp, and the photo with its EXIF metadata.
Professional researchers use FieldResearch for structured surveys: biodiversity monitoring across transects, archaeological site inventories, tree health assessments, environmental damage mapping after storms or floods. Citizen science projects use the same tool to mobilize volunteers at scale. A university publishes the map link, participants contribute observations from the field, and the dataset grows without hiring additional staff.
Every observation is accessible through the Open311 API, the same open standard used by cities worldwide. Filter by category, date range, or bounding box. Export to CSV for spreadsheets and GIS import via its coordinate columns, or consume the JSON API directly from R, Python, or any analysis pipeline. The dashboard provides visual summaries and direct download.
Data ownership stays with the project. The platform runs on open standards, so data is never locked in. Multi-language support covers 18 languages, making it suitable for international research collaborations. Photo documentation with GPS metadata provides verifiable evidence chains for regulatory compliance, academic publications, and long-term monitoring programs.
- Custom Attributes per Category
- Each observation category (Service Definition) carries its own attribute set: species name, condition rating, sample type, material, or any field your study needs. Configured in the admin panel, no code changes required.
- GPS Photo Documentation
- Every record includes a photo with GPS coordinates and EXIF metadata from the device. The combination of visual evidence and precise location creates a verifiable record chain for publications and regulatory compliance.
- Open311 API Export
- All data is accessible through the Open311 API. Filter by category, date, or bounding box. Use the JSON API from R, Python, or any analysis pipeline, or export CSV with coordinates for QGIS and ArcGIS.
- Multi-language Support
- The platform supports 18 languages, making it suitable for international research collaborations and cross-border citizen science projects. Categories and attributes can be localized.
Pro koho to je?
University research projects
Build georeferenced datasets for field studies. Define custom attributes per observation type, deploy to student teams and field assistants, and export structured data for statistical analysis and GIS workflows. The Open311 API integrates with R, Python, and QGIS.
Environmental agencies and monitoring
Track environmental conditions across jurisdictions. Document pollution events, habitat degradation, and species distribution changes with timestamped, photo-verified records. Dashboard analytics show trends and support regulatory reporting.
Archaeological field documentation
Record finds with precise GPS coordinates, photos, and configurable attributes (period, material, context). Build a spatial inventory of excavation sites, surface finds, and survey transects. Export to GIS for site analysis and publication maps.
Community citizen science
Engage volunteers in data collection at scale. Share a map link, and participants contribute observations from any smartphone. Project coordinators review submissions, curate the dataset, and publish results. No app installation required.
Zahrnuté kategorie
Tyto kategorie jsou součástí šablony. Po nastavení je lze v dashboardu přejmenovat, doplnit nebo odstranit.
- Biodiversity Observation
- Habitat Assessment
- Archaeological Find
- Environmental Sample
- Infrastructure Inspection
- Vegetation Survey
- Damage Documentation
Založit Research & Field Data Collection
Popište jednou větou, o co jde. Potom jsou mapa, kategorie a stavy připravené a vše můžete upravit.
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