> For the complete documentation index, see [llms.txt](https://biggeo.gitbook.io/biggeo/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://biggeo.gitbook.io/biggeo/datascape/overview.md).

# Overview

**What is Datascape?**

> Datascape is BigGeo's visual exploration environment. It lets you see your spatial data on a map, run visual queries, and explore results geographically — without writing a single line of code.

***

**Getting to Datascape**

**Step 1 — Switch to Datascape**

Click your workspace name in the top left of the screen and select **Datascape** from the menu.

***

**Step 2 — Open a dataset**

Select a dataset from the left panel to load it onto the map. You can load multiple datasets at once and toggle their visibility using the layer controls.

***

**Step 3 — Explore your data visually**

Use the map controls to:

* Zoom into a specific area
* Click a data point to view its attributes
* Switch between map styles (satellite, street, terrain)

***

**Step 4 — Run a spatial query**

Use the query panel to filter what's displayed on the map:

1. Select your dataset
2. Set your spatial condition (e.g. within a radius, inside a boundary, near a point)
3. Add any attribute filters (e.g. category, rating, date)
4. Click **Run** — results update on the map in real time

***

**Step 5 — Export your results**

Once you have the results you need:

1. Click **Export**
2. Choose your format (CSV, GeoJSON, or Shapefile)
3. Your file downloads immediately

***

**Tips for using Datascape**

* **Start with a small area** before running queries across a large geography — it's faster and easier to validate results.
* **Layer datasets** to spot spatial relationships visually before querying them in BigGeo AI.
* **Use Datascape to explore, BigGeo AI to ask.** Datascape is best for visual discovery; BigGeo AI is best for specific questions and record-level answers.


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