How do you cope with the dynamic and evolving nature of GIS modeling problems?

1 Understand the problem

The first step in any GIS modeling project is to understand the problem you are trying to solve. What is the purpose of the model? What are the inputs, outputs, and assumptions? What are the criteria and constraints for evaluating the model? Who are the stakeholders and users of the model? By answering these questions, you can define the scope and goals of the project, and identify the relevant data sources and methods.

2 Choose the right model

The next step is to choose the right model for the problem. There are many types of GIS models, such as statistical, deterministic, stochastic, agent-based, cellular automata, and neural networks. Each model has its own strengths, limitations, and assumptions. You need to consider the characteristics of the data, the complexity of the process, the uncertainty of the parameters, and the availability of the resources. You also need to balance the trade-off between accuracy and simplicity, and avoid overfitting or underfitting the data.

3 Validate and calibrate the model

Once you have chosen the model, you need to validate and calibrate it. Validation is the process of checking whether the model represents the reality accurately and consistently. Calibration is the process of adjusting the model parameters to fit the observed data. You can use various techniques, such as sensitivity analysis, error analysis, cross-validation, and scenario analysis, to test and improve the model performance. You also need to document the model assumptions, methods, results, and uncertainties.

4 Update and adapt the model

GIS modeling problems are not static. They change over time due to new data, new knowledge, new requirements, or new situations. Therefore, you need to update and adapt your model accordingly. You need to monitor the data quality and availability, and incorporate new data sources or methods if needed. You need to review the model assumptions and objectives, and modify them if they are no longer valid or relevant. You need to communicate and collaborate with the stakeholders and users, and solicit their feedback and suggestions.

5 Learn and improve

The final step in coping with the dynamic and evolving nature of GIS modeling problems is to learn and improve. You need to evaluate the model outcomes and impacts, and identify the strengths and weaknesses of your model. You need to reflect on the lessons learned and the challenges faced, and share your experiences and insights with others. You need to seek new opportunities and challenges, and enhance your skills and knowledge in GIS modeling.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?