resources-code.md

id	title	date	author	layout	guid	geo_public	permalink
66	Resources	2014-12-15T23:10:55+00:00	Anthony Louis D'Agostino	page	http://pathindependence.wordpress.com/?page_id=66	0 0	/resources/

This is a curated list of software/tools/resource guides that I have found useful over the years.

Remote Sensing Data and Analysis

• Google Earth Engine – the default environment for processing satellite imagery
• UAF Alaska Satellite Facility – great selection of tutorials on SAR data and processing
• NASA ARSET video tutorials – cover topics spanning flood detection, water quality monitoring, land cover mapping, etc.
• ML 4 RS – earthlab.ai curated page of ML resources for remote sensing, with focus on introductory materials; covers topics like land cover classification and time-series analysis. Draws heavily on Medium and Towards Data Science posts.\

Experimental and Quasi-Experimental Design Tools and Methods

• Geospatial impact evaluation{:target="_blank"} (GIE)
• Power calculations for regression discontinuity designs{:target="_blank"} (Calonico, Cattaneo, et al.) – and Stata commands
• Power calculations for panel model experiments (Burlig, Preonas, and Woerman 2019) – and Stata commands
• Power dashboard: Cash transfer size, nonlinearities, and benchmarking (Kondylis and Loeser 2021) – cloud-based dashboard with user customization of power calculation input parameters\

Indian Agriculture, Environment, and Development

• DevInfo
• IndiaStat – all data available through IndiaStat’s sector-specific associate sites (e.g., through IndiaAgriStat and IndiaEnergyStat) is also retrievable from the main IndiaStat site
• ICRISAT – Village Dynamics in South Asia
• NCAER ARIS-REDS {:target="_blank"}
• India Human Development Survey{:target="_blank"} – NCAER & UMD
• India WaterTool{:target="_blank"}
• datameet{:target="_blank"} – India’s open data community, on Google Groups\

NCAER ARIS-REDS – Rural Economic and Demographic Survey, Round 2006

• Crop listing codes (converted from Appendix-2) – category groupings are blank in the “CODE” column and include all crops until the next category (XLSX format)
• NCO_Codes_2006 (converted from Appendix-2) – unsure which vintage of NCO codes these are drawn from, but this is the tabular form [converted using smallPDF.com] of the PDF documentation (XLSX format)\

India – Labor Data

• National Classification of Occupations, 1968 (NCO68) – 3-digit/1-digit occupation codes (XLS){:target="_blank"}
• NCO-1968 to NCO-2004 conversion table: 1-digit/3-digit occupation (PDF)\

India – Geographic Resources

• Mapping Indian Districts Across Census Years, 1971-2001 (Kumar and Somanathan 2009, PDF{:target="_blank"})
• State and District Boundary Changes in India, 1961-2001 (Kumar and Somanathan 2015, PDF{:target="_blank"})\

Python & Programming

• FuzzyWuzzy and a FuzzyWuzzy Python/Stata tutorial on string matching across datasets (files)
• Sublime Text 3 – my Python editor of choice
• Atom – all-purpose text editor with great add-on capabilities
• Seaborn – attractive alternative to matplotlib and pyplot for data visualization
• Homebrew – the best Mac OS package manager
• pythex – Python regular expressions tester\

Stata Tools

• stata_kernel – run Stata in a Jupyter notebook\

• Survey Solutions\

Survey Data Analysis and Visualization

• SuAVE: Survey Analysis via Visual Exploration
• Color Brewer 2.0: Color Advice for Cartography
• Colorpicker: Brings Gregor Aisch’s recommendations within reach\

Climate Data Tools

• Climate Data Operators (CDO) – indispensable suite of statistical tools for working with climate data; Python bindings by Try2Code
• netCDF Operator (NCO) tools – command-line tools for working with netCDFs
• Panoply – straightforward visualization tool for netCDF/HDFx/GRIB files\

GHG Emissions and Emissions Monitoring

• Climate TRACE – satellite-based GHG monitoring\

Economic Development – General Resources

• Demographic & Health Surveys (DHS Program)
• Markus Eberhardt’s incredibly-helpful Development Economics data link dump
• BREAD’s list of resources
• Poverty Probability Index
  • Mark Schreiner’s comprehensive listing of all Simple Poverty Scorecard poverty assessment tool surveys
• High Resolution Settlement Layer (HRSL) – 1 arc-second, global gridded population estimates using census data and DigitalGlobe imagery, developed by Facebook’s Connectivity Lab\

Food and Agriculture Data

• CountrySTAT{:target="_blank"}
• OneSoil{:target="_blank"} – AI detected field boundaries and crop identification\

US Data

• Panel Study of Income Dynamics{:target="_blank"} (PSID; University of Michigan)
• IPUMS{:target="_blank"} (University of Minnesota)\

Data [General]

• Google Dataset Search{:target="_blank"} – search hosted datasets\

Research Productivity

• Inciteful{:target="_blank"} - build a network of academic articles to facilitate lit reviews