Category Archives: Uncategorized

CFP — Spatial Information for Human Health (Dec 9-11, 2015), UCSB

Spatial Information for Human Health
December 9–11, 2015
University of Santa Barbara, California
http://spatial.ucsb.edu/spatial2015

The Center for Spatial Studies (University of California, Santa Barbara), is launching a new biennial series of unconferences, entitled SPATIAL, with the goal of reaching out to domain specialists to inspire and guide research on spatial information. Each edition will focus on applications of spatial information as a primary force to push the frontiers of Geographic Information Science, Spatial Cognition, and related fields. Instead of listening to paper presentations, attendees will debate new ideas, address challenges, and discuss how to improve solutions. Continue reading

Spatial Demography back up and Running!

Hello all,

I wanted to note that recent difficulties with the SpatialDemography.org site were the result of us transitioning to a new hosting site.  We were down for 24 hours (offline) and have been working on moving the site over for the last few weeks and finally have it functional again (Thanks to Frank’s work on this!).  We are now back up and running and will have the final issue of 2014 available in the next couple of months.

Best,
Jeremy

This entry was posted by Jeremy Porter on October 20, 2014 in Uncategorized

Call for Papers: Residential Inequality in American Neighborhoods and Communities (Penn State Stratification Conference – Sept 12-14, 2014)

This may be of interest to the readers of Spatial Demography

CALL FOR PAPERS “Residential Inequality in American Neighborhoods and Communities” Penn State Stratification Conference Nittany Lion Inn, September 12-14, 2014 Submission deadline: January 31, 2014 Penn State is hosting a small conference that highlights how stratification intersects with the residential landscape of the United States. Approximately 15 innovative papers are sought for sessions on the interrelated phenomena of segregation, housing and neighborhood attainment, residential mobility, and community change. Contributions may be theoretical, empirical, or policy-oriented and can focus on trends or current circumstances. We also welcome research representing a variety of methodological styles and set in contexts ranging from metropolitan to rural. The conference format will provide ample opportunities for interaction among attendees. Scholars interested in presenting their work should email a 2-page abstract or completed paper to psustratcon@psu.edu by January 31, 2014. Acceptance decisions will be made no later than February 15. Please visit http://sociology.la.psu.edu/about/psu-stratcon for additional details about the conference, which is being organized by Glenn Firebaugh, John Iceland, Barrett Lee, and Stephen Matthews.

This entry was posted by Stephen Matthews on November 20, 2013 in Uncategorized

Postdoc opportunities at Brown: population/space

There are postdoctoral research possibilities for new PhDs at Brown University through the Population Studies and Training Center (PSTC).  The PSTC has at least two openings for one or two-year postdoctoral positions starting as early as July 1, 2014.  One position is for a Postdoctoral Research Associate and the other is for an NICHD-Funded Postdoctoral Fellow. NICHD-Funded Postdoctoral Fellow candidates must be United States Citizens, Non-Citizen Nationals of the United States, or must have been lawfully admitted to the United States for permanent residence at the time of application.   For a full description and application, click here. 

I am particularly interested in applications from population-oriented scholars who focus on spatial questions.  In my own research I expect to be working intensively with newly released 1940 census microdata that I plan to geocode for major U.S. cities and use as a basis for studying the class and racial/ethnic bases of neighborhoods and neighborhood segregation.  A major concern (given that I will use point data for individuals) is to understand the spatial scale of neighborhoods.

 I would be glad to correspond with prospective applicants about serving as their mentor at PSTC.  They would be expected to follow their own research agenda and they could also participate in the 1940 project.  Please forward this note to people who might have an interest in it.

 Best regards,

John Logan

 
*************************************************
John R. Logan, Professor of Sociology
Director, Spatial Structures in the Social Sciences
Department of Sociology, Box 1916
Brown University
Providence, RI   02912
http://www.s4.brown.edu
This entry was posted by John Logan on November 4, 2013 in Uncategorized

PySAL 1.6 Officially Released

See the following announcement from one of our editorial board members (Serge Rey) highlighting the official release of PySal 1.6.

PySAL is a library of tools for spatial data analysis and
geocomputation written in Python. PySAL 1.6, the seventh official
release of PySAL brings the following key enhancements:

### Spatial weights (weights)

* Optimized contiguity builder
* Explicit checks for disconnected observations (islands)
* Lightweight sparse weights class
* Handle coincident points in construction of distance based weights
* Optimized construction of knn weights

### Spatial regression (spreg)

* Chow test on spatial autoregressive coefficient in error, lag and combination regime models
* Kernel based weights specialized for HAC estimators
* Group-wise heteroskedasticity correction for OLS models with regimes
* Optimal GMM estimator to account for heteroskedasticity in TSLS models with regimes

### Spatial inequality (inequality)

* Spatial decomposition of the Gini coefficient

### Computational geometry (cg)

* Robust segment intersection tests

among the 246 commits and bug fixes since the last release, 6 months ago.

In addition, 1.6 marks the first release since PySAL moved from Google Code to GitHub

## PySAL modules

* pysal.core — Core Data Structures and IO
* pysal.cg — Computational Geometry
* pysal.esda — Exploratory Spatial Data Analysis
* pysal.inequality — Spatial Inequality Analysis
* pysal.spatial_dynamics — Spatial Dynamics
* pysal.spreg – Regression and Diagnostics
* pysal.region — Spatially Constrained Clustering
* pysal.weights — Spatial Weights
* pysal.FileIO — PySAL FileIO: Module for reading and writing various file types in a Pythonic way

## Downloads

Source distributions are available at
http://pypi.python.org/pypi/PySAL

Binary installers are availble from the [GeoDa Center for Geospatial Analysis and Computation](https://geodacenter.asu.edu/projects/pysal)

PySAL can also be installed with pip or easy_install.

## Documentation
The documentation site is here
http://pythonhosted.org/PySAL/

## Web sites
PySAL’s home is here
http://pysal.org/

The developer’s site is here
https://github.com/pysal/pysal

## Mailing Lists
Please see the developer’s list here
http://groups.google.com/group/pysal-dev

Help for users is here
http://groups.google.com/group/openspace-list

## Bug reports and feature requests
To search for or report bugs, as well as request enhancements, please see
https://github.com/pysal/pysal/issues

## License information
See the file “LICENSE.txt” for information on the history of this
software, terms & conditions for usage, and a DISCLAIMER OF ALL
WARRANTIES.

Many thanks to [all who contributed!](https://github.com/pysal/pysal/blob/master/THANKS.txt)

FOAS Affiliation

Spatial Demography is now affiliated with the Foundation for Open Access Statistics. It’s led by the prominent statistician Jan de Leuuw at UCLA. Located at www.foastat.org, the mission statement is reproduced below. We felt that the mission of Spatial Demography is compatible to that of FOAS and they have listed their support of this journal on their website. Give it a look!

Frank

The mission of the Foundation for Open Access Statistics (FOAS) is to promote free software, open access publishing, and reproducible research in statistics.

FOAS works to ensure the continued success of the Journal of Statistical Software (JSS), one of the few major open access journals that is free for both readers and authors. We also promote the use and development of free software for statistics, such as the R language and environment for computational statistics. We encourage members and the academic community at large to publish reproducible research that is publicly available online, e.g., in an open access journal or on an open access pre-print server.

You can join FOAS to show your support for free statistical software, open access publishing, and reproducible research in statistics. Membership is free and open to all.

This entry was posted by Frank Howell on July 7, 2013 in Uncategorized

Harmonizing tract boundaries – new resource

The US2010 Project supported by Russell Sage Foundation has developed a method to allow researchers to analyze census tract data with constant boundaries for the period 1970-2010. This method is advantageous especially for studies of change over time, when it is important to follow change within the same geographic area. The Longitudinal Tract Data Base (LTDB) is free at this URL: http://www.s4.brown.edu/us2010/Researcher/Bridging.htm. It uses the same GIS interpolation methods as the commercially available Neighborhood Change Data Base that scholars have used for 1970-2000. A significant feature is that users can import their own data (such as crime or health data for census tracts) and convert it themselves to 2010 boundaries. Soon it will include a capability to go in the other direction, converting 2010 data to 2000 boundaries.

John Logan, Brian Stults, Zengwang Xu

New maintenance release of GeoDaSpace

The GeoDaSpace software by Luc Anselin and company at AZ State has a new update, correcting some bugs, etc. If you’re not familiar with this free software, check it out at the GeoDa Center. It does “Spatial econometrics (lag and error, endogenous variables, HAC, robust standard errors, spatial regimes)”. The website is: https://geodacenter.asu.edu/software.

GeoDaSpace Models

The following models are available in the GeoDaSpace alpha release based on these recent references :

• OLS
• 2SLS
• GM/GMM spatial error
• GM/GMM spatial lag
• GM/GMM spatial lag and error

with options for:

• spatial and non-spatial diagnostics
• non-spatial endogenous variables
• heteroskedasticity/HAC

and these spatial weights:

• contiguity
• distance (bands, knn, inverse distance)
• kernel

Download the GeoDaSpace alpha release here.