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removing spvcm from meta -- archived - pysal#1330
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jGaboardi committed Jul 10, 2024
1 parent 12ae3c1 commit 8c411c8
Showing 13 changed files with 2 additions and 17 deletions.
2 changes: 0 additions & 2 deletions README.md
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@@ -59,8 +59,6 @@ In contrast to `explore`, the `model` layer focuses on confirmatory analysis. In

- [spreg](https://spreg.readthedocs.io/) : `spreg` supports the estimation of classic and spatial econometric models. Currently it contains methods for estimating standard Ordinary Least Squares (OLS), Two Stage Least Squares (2SLS) and Seemingly Unrelated Regressions (SUR), in addition to various tests of homokestadicity, normality, spatial randomness, and different types of spatial autocorrelation. It also includes a suite of tests for spatial dependence in models with binary dependent variables.

- [spvcm](https://github.com/pysal/spvcm) : `spvcm` provides a general framework for estimating spatially-correlated variance components models. This class of models allows for spatial dependence in the variance components, so that nearby groups may affect one another. It also also provides a general-purpose framework for estimating models using Gibbs sampling in Python, accelerated by the `numba` package.

- [tobler](http://pysal.org/tobler/) : `tobler` provides functionality for for areal interpolation and dasymetric mapping. Its name is an homage to the legendary geographer Waldo Tobler a pioneer of dozens of spatial analytical methods. `tobler` includes functionality for interpolating data using area-weighted approaches, regression model-based approaches that leverage remotely-sensed raster data as auxiliary information, and hybrid approaches.

- [access](http://github.com/pysal/access) : `access` aims to make it easy for analysis to calculate measures of spatial accessibility. This work has traditionally had two challenges: [1] to calculate accurate travel time matrices at scale and [2] to derive measures of access using the travel times and supply and demand locations. `access` implements classic spatial access models, allowing easy comparison of methodologies and assumptions.
1 change: 0 additions & 1 deletion ci/310-latest.yaml
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@@ -44,7 +44,6 @@ dependencies:
- tobler>=0.2.1
- spint
- spreg
- spvcm
- mgwr
- segregation
- pointpats
1 change: 0 additions & 1 deletion ci/310-oldest.yaml
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@@ -44,7 +44,6 @@ dependencies:
- tobler>=0.2.1
- spint
- spreg
- spvcm
- mgwr
- segregation
- pointpats
1 change: 0 additions & 1 deletion ci/311-latest.yaml
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@@ -44,7 +44,6 @@ dependencies:
- tobler>=0.2.1
- spint
- spreg
- spvcm
- mgwr
- segregation
- pointpats
1 change: 0 additions & 1 deletion ci/312-latest.yaml
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@@ -43,7 +43,6 @@ dependencies:
- tobler>=0.2.1
- spint
- spreg
- spvcm
- mgwr
- segregation
- pointpats
1 change: 0 additions & 1 deletion docs/api.rst
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@@ -32,7 +32,6 @@ API Reference
* `spint: Spatial Interaction Modeling <https://spint.readthedocs.io/en/latest/api.html>`_
* `spopt: Spatial Optimization <https://pysal.org/spopt/api.html>`_
* `spreg: Spatial Regression and Econometrics <https://spreg.readthedocs.io/en/latest/api.html>`_
* `spvcm: Spatial Varying Component Models <https://github.com/pysal/spvcm>`_
* `tobler: Areal Interpolation and Dasymetric Mapping <https://pysal.org/tobler/api.html>`_

:mod:`pysal.viz`: Geovisualization
1 change: 0 additions & 1 deletion environment.yml
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@@ -16,7 +16,6 @@ dependencies:
- spglm>=1.0.8
- spint>=1.0.7
- spreg>=1.2.2
- spvcm>=0.3.0
- tobler>=0.5.4
- mapclassify>=2.4.2
- splot>=.1.1.3
1 change: 0 additions & 1 deletion pyproject.toml
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@@ -48,7 +48,6 @@ dependencies = [
"spglm>=1.1.0",
"spint>=1.0.7",
"spreg>=1.5.0",
"spvcm>=0.3.0",
"tobler>=0.11.2",
"mapclassify>=2.7.0",
"splot>=1.1.5.post1",
2 changes: 1 addition & 1 deletion pysal/__init__.py
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@@ -18,6 +18,7 @@
cg -- Computational Geometry
examples -- Example data sets
graph -– Graph class encoding spatial weights matrices
io -- Input/Output
weights -- Spatial Weights
@@ -41,7 +42,6 @@
spint -- Spatial interaction modeling
spglm -- Spatial general linear modeling
spopt -- Spatial optimization
spvcm -- Spatial variance component models
spreg -- Spatial econometrics
tobler -- Spatial areal interpolation models
2 changes: 1 addition & 1 deletion pysal/base.py
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@@ -8,7 +8,7 @@
'pointpats', 'inequality',
'spaghetti', 'access', 'momepy'],
'model': ['spreg', 'spglm', 'tobler', 'spint',
'mgwr', 'spvcm', 'access', 'spopt'],
'mgwr', 'access', 'spopt'],
'viz': ['splot', 'mapclassify'],
'lib': ['libpysal']
}
1 change: 0 additions & 1 deletion pysal/frozen.py
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@@ -11,7 +11,6 @@
"spglm": "1.0.8",
"spint": "1.0.7",
"spreg": "1.2.4",
"spvcm": "0.3.0",
"tobler": "0.8.2",
"mapclassify": "2.4.3",
"splot": "1.1.4",
1 change: 0 additions & 1 deletion pysal/model/__init__.py
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@@ -3,6 +3,5 @@
import spglm
import spint
import spreg
import spvcm
import tobler
import spopt
4 changes: 0 additions & 4 deletions pysal/model/spvcm/__init__.py

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