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Quiz interpolation (#32)
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* quiz on l5

* quiz interpolation

* Update interpolation/quiz.qmd

Co-authored-by: Martin Fleischmann <martin@martinfleischmann.net>

* Update interpolation/quiz.qmd

Co-authored-by: Martin Fleischmann <martin@martinfleischmann.net>

* Update interpolation/quiz.qmd

Co-authored-by: Martin Fleischmann <martin@martinfleischmann.net>

* update

* remove wrong question

---------

Co-authored-by: Anna Brázdová <annabrazdova@Anna--MacBook-Air-2.local>
Co-authored-by: Martin Fleischmann <martin@martinfleischmann.net>
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Expand Up @@ -71,6 +71,7 @@ website:
- interpolation/concepts.qmd
- interpolation/hands_on.qmd
- interpolation/exercise.qmd
- interpolation/quiz.qmd
- section: "Linear regression"
contents:
- regression/concepts.qmd
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227 changes: 227 additions & 0 deletions interpolation/quiz.qmd
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---
title: "Quiz on interpolation"
filters:
- naquiz
---

Check how much you remember from previous sections by answering the questions below.

:::::{.question}
**What is the H3 grid?**

::::{.choices}

:::{.choice}
A type of mapping that uses rectangles for spatial operations.
:::

:::{.choice .correct-choice}
A hexagonal hierarchical grid that enables efficient spatial operations.
:::

:::{.choice}
A linear interpolation method based on grid coordinates.
:::

:::{.choice}
A spherical coordinate system used for geospatial data.
:::

::::
:::::


:::::{.question}
**What is the primary purpose of the `tobler` package in PySAL?**

::::{.choices}

:::{.choice}
Creating experimental variograms.
:::

:::{.choice .correct-choice}
Performing areal interpolation.
:::

:::{.choice}
Clustering algorithm.
:::

:::{.choice}
Implementing Voronoi tessellation.
:::

::::
:::::

:::::{.question}
**How does simple areal interpolation redistribute values?**

::::{.choices}

:::{.choice}
Based on the population density of the source geometries.
:::

:::{.choice .correct-choice}
Based on the proportion of area shared between source and target polygons.
:::

:::{.choice}
Using nearest neighbor values for interpolation.
:::

:::{.choice}
By creating a linear function between the source and target geometries.
:::

::::
:::::

:::::{.question}
**What does Pycnophylactic interpolation aim to achieve?**

::::{.choices}

:::{.choice .correct-choice}
Preserve the original data's volume while smoothing sharp boundaries.
:::

:::{.choice}
Use spatial lag for better autocorrelation analysis.
:::

:::{.choice}
Handle missing values using distance-weighted regression.
:::

:::{.choice}
Allocate values proportionally to distances.
:::

::::
:::::

:::::{.question}
**What is the result of nearest interpolation?**

::::{.choices}

:::{.choice}
A weighted average of neighboring values.
:::

:::{.choice}
A continuous surface based on autocorrelation.
:::

:::{.choice}
A spherical interpolation of point distances.
:::

:::{.choice .correct-choice}
A Voronoi tessellation representing nearest point values.
:::

::::
:::::



:::::{.question}
**What distinguishes KNN interpolation from distance-weighted KNN?**

::::{.choices}

:::{.choice}
KNN only uses spatial autocorrelation, while distance-weighted KNN considers lag.
:::

:::{.choice}
KNN is based on variograms, while distance-weighted KNN uses kriging.
:::

:::{.choice .correct-choice}
Distance-weighted KNN assigns weights inversely proportional to the distance.
:::

:::{.choice}
Distance-weighted KNN uses only the closest neighbor.
:::

::::
:::::

:::::{.question}
**What is distance-based regression?**

::::{.choices}

:::{.choice}
A method that uses only the nearest point for predictions.
:::

:::{.choice .correct-choice}
A regression method based on points within a specified distance radius.
:::

:::{.choice}
An interpolation technique based on spatial autocorrelation models.
:::

:::{.choice}
A combination of areal and point interpolation methods.
:::

::::
:::::

:::::{.question}
**What is ordinary kriging known for?**

::::{.choices}

:::{.choice}
Using simple averages for point interpolation.
:::

:::{.choice}
Assigning weights inversely proportional to distances only.
:::

:::{.choice .correct-choice}
Combining geographical proximity with spatial autocorrelation patterns.
:::

:::{.choice}
Implementing hierarchical grids for efficient analysis.
:::

::::
:::::


:::::{.question}
**What does an experimental semivariogram represent in spatial statistics?**

::::{.choices}

:::{.choice}
A theoretical model or a mathematical function of spatial dependence.
:::

:::{.choice}
A measure of spatial density of sample points across a study area.
:::

:::{.choice}
Best-fit model for predicting values in unsampled areas.
:::

:::{.choice .correct-choice}
A plot of the semivariance between pairs of sample points as a function of distance, showing the degree of spatial relationship.
:::

::::
:::::

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