Juggling field data collection and GIS analysis deadlines. How can you strike the right balance? (original) (raw)

Last updated on Oct 4, 2024

1. All
2. Engineering
3. Geographic Information Systems (GIS)

In the GIS world, balancing field data collection with analysis deadlines is key. Here's how to achieve equilibrium:

• Streamline workflows: Use mobile GIS apps to input data directly in the field.

• Set realistic goals: Communicate with your team to establish achievable timelines.

• Prioritize tasks: Focus on urgent analysis while scheduling regular data collection intervals.

How do you maintain balance in your GIS projects? Share your strategies.

In the GIS world, balancing field data collection with analysis deadlines is key. Here's how to achieve equilibrium:

• Streamline workflows: Use mobile GIS apps to input data directly in the field.

• Set realistic goals: Communicate with your team to establish achievable timelines.

• Prioritize tasks: Focus on urgent analysis while scheduling regular data collection intervals.

How do you maintain balance in your GIS projects? Share your strategies.

Help others by sharing more (125 characters min.)

26 answers

• Integrating Field surveying data with GIS analyais data is a Must. Within my experience I depend on gathering very important data from the field. It was updated and accurate enough to help me with GIS analysis at the office. The work flow should be : 1. Break down the project target into smaller, specific, measurable goals. 2. Consult stakeholders to align your objectives with their expectations. 3. Compile the field survey data and relevant GIS layers you have (satellite images, parcels, administrative layers). 4. Prioritize collecting and integrating data that will most impact the project's results. 5. Gather all data in a centralized database or GIS environment. 6. Finally, Find the best way to present and visualize.
• Balancing field data collection and GIS analysis can be managed effectively by following these strategies: 1. Prioritize Goals and Outcomes: Define clear objectives for both field data collection and GIS analysis. Knowing the specific data needed for analysis helps streamline fieldwork, ensuring only essential data is collected, which reduces time and resource consumption. 2. Pre-Planning and Coordination: Before heading to the field, plan routes, data points, and the equipment required. Make sure data collection is thorough to minimize return trips. Coordinate with field teams, establishing a process for timely data transfer back to the GIS analysis team.
• Balancing field data collection and GIS analysis deadlines can be challenging, but with some practical strategies, it's achievable. For a vegetation health project, we focused on collecting data from high-priority areas affected by recent droughts. By concentrating on these areas first, we ensured that the analysis could begin with the most impactful data, giving us room to refine the rest as needed.
• 1. Planning 2.Optimize Data acquisition 3.QC of the data 4.Standardize Processes/workflow 5.Cloud-based and Real-time Data Syncing 6.Progress Reviews- Regularly
• What i did, we prep workflow code with expected analysis outcome using sample/synthetic data first. From there, we can always improve better analysis time to time without worry on data streamline process.