By default the transform is applied in local sketch axis, therefore the origin will not move.
If you want to apply the transform in global space, set `global` to `true`. The origin of the model will move. If the model is not centered on origin and you scale globally it will look like the model moves and gets bigger at the same time. Say you have a square `(1,1) - (1,2) - (2,2) - (2,1)` and you scale by 2 globally it will become `(2,2) - (2,4)`...etc so the origin has moved from `(1.5, 1.5)` to `(2,2)`.
| `scale` | [`[number]`](/docs/kcl/types/number) | The scale factor for the x, y, and z axes. | Yes |
| `global` | [`bool`](/docs/kcl/types/bool) | If true, the transform is applied in global space. The origin of the model will move. By default, the transform is applied in local sketch axis, therefore the origin will not move. | No |
![Rendered example of scale 0](data:image/png;base64,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
![Rendered example of scale 1](data:image/png;base64,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