Overview

Datascape allows users to refine their visualizations by applying Non-Geospatial Filtering to datasets. This feature enables filtering based on attributes other than location, such as categories, numerical ranges, or dates. By focusing on specific data subsets, users can tailor their maps to meet unique visualization and analysis requirements.

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What Is Non-Geospatial Filtering?

Non-Geospatial Filtering is the process of narrowing down datasets using attribute-based criteria. Instead of relying solely on spatial data like coordinates or boundaries, users can filter datasets by non-spatial attributes such as:

• Categories:

  • Filter by specific labels, tags, or classifications within the dataset (e.g., industry, product type).

• Numerical Ranges:

  • Focus on data points within a defined range of values, such as revenue, population, or elevation.

By combining non-geospatial filters with geospatial elements, users can create highly targeted and detailed map visualizations.

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Key Features

1. Attribute-Based Filtering

• Define criteria to focus on specific data subsets based on non-geospatial attributes.

• Combine multiple filters for more granular control over datasets.

2. Dynamic Updates

• Filters are applied in real-time, providing instant updates to the map visualization.

3. Flexible Criteria

• Filter options include:

  • Dropdown selections for categorical attributes.

  • Slider ranges for numerical values.

4. Seamless Integration with Geospatial Elements

• Use non-geospatial filters alongside geospatial features like shape layers or area boundaries for multi-dimensional analysis.

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Benefits of Non-Geospatial Filtering

1. Focused Insights

• Isolate specific data points to uncover patterns or trends without overwhelming the map with unnecessary details.

2. Custom Visualizations

• Create maps that highlight the most relevant data for your audience or project goals.

3. Enhanced Decision-Making

• Combine geospatial and non-geospatial insights to make data-driven decisions based on a comprehensive understanding of your datasets.

4. Scalability

• Non-geospatial filters are flexible and can be applied to datasets of any size or complexity.

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Use Cases

• Sales Analysis:

  • Filter by revenue ranges to identify top-performing regions or products.

• Demographic Studies:

  • Narrow down data by age groups, income brackets, or other socio-economic attributes.

• Industry-Specific Visualizations:

  • Focus on specific categories like transportation networks, environmental factors, or urban development projects.

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FAQs

Can I apply multiple filters at once?

Yes, you can combine multiple non-geospatial filters for precise data analysis.

Will filtering affect the original dataset?

No, filters are applied to the visualization layer and do not alter the original dataset.

Can I save filters for future use?

Filters can be saved within a Saved View, preserving your configuration for future reference.

Are non-geospatial filters available for all datasets?

Filters depend on the attributes present in the dataset. Datasets must include non-geospatial fields (e.g., categories, numerical values, or dates) to enable filtering.

Can filters be applied to multiple datasets simultaneously?

Yes, you can apply filters across multiple datasets enabled on the map.

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Non-Geospatial Filtering in Datascape expands the scope of data visualization by allowing users to refine their datasets based on meaningful, non-spatial attributes. By combining these filters with geospatial tools, users can unlock deeper insights and craft impactful visualizations tailored to their specific needs.