Spatial Analysis on the Provision of Urban Amenities and their Deficiencies – A Case Study of Srinagar City, Jammu and Kashmir, India

Research on Humanities and Social SciencesResearch on Humanities and Social Sciences, Vol.2, No.6, 2012

Jahangeer A. Parry, Showkat A. Ganaie, Zahoor A. Nengroo, and M. Sultan Bhat

“The paper examined inequality in the distribution of urban amenities in Srinagar City. Inequality in the study area is manifested in the form of unequal provision of social amenities within the wards (municipal units) of the City. The spatial distribution and concentration of two social amenities, viz, educational institutions and fire service stations was studied. The study mainly relied on the secondary sources of data. The Z-score variate has been used to determine the spatial concentration pattern in the provision of these amenities. However, Lorenz Curve proved to be a useful tool in accessing and quantifying the spatial disparity. The results of the analysis indicate that inequalities exist in the provision of accessibility of these amenities among different wards in Srinagar city. The reasons for the uneven distribution of urban amenities are spurt urban growth in the last three decades and poor management planning. The paper suggests that planning body must keep pace with the urban sprawl in order to ensure the equitable distribution of urban amenities in the city.”

Methods for the Spatial Analysis of Community Wellbeing, Resilience and Vulnerability

Proceedings of the AGILE’2012 International Conference on Geographic Information Science, Avignon, April, 24-27, 2012

Alexis Comber, Thilo Boeck, Jay Hardman, Claire Jarvis, and Peter Kraftl

“This paper proposes an approach for targeting priority areas for community engagement using data held by local authorities relating to local taxation, housing, education, public health outcomes and derived measures of vulnerability. It seeks to identify the relevant variables that are held by the local authority, to model community or neighbourhood trajectories by examining changes in such data over time as the first steps in a hierarchical approach for analysing community resilience and well-being.

Access to community oriented facilities.

Access to community oriented facilities.

“The outputs of these steps allow community engagement activities to be targeted. Initial results are described and key discussion points are outlined.”

USAID Development Data Available on ArcGIS Online

Esri logoMapped Data Provides Better Insight for Collaboration between Donors and Loan Recipients

Last month, the US Agency for International Development (USAID) launched the agency’s first-ever crowdsourcing initiative to clean and map development data such as guarantees, loans disbursed, and available financing. Volunteers used a simple crowdsourcing tool created with Esri technology to find the required location information. This data can now be easily visualized on an Esri Story Map and in ArcGIS Online, providing better insight for the private sector to explore new areas for collaboration with host countries, researchers, development organizations, and the public.

USAID’s GeoCenter worked in cooperation with the agency’s Development Credit Authority (DCA) to identify a global dataset of approximately 117,000 records to map and make available to the public. The data cleaning and geocoding process was crowdsourced to volunteer technical communities including the Standby Task Force (SBTF) and GISCorps. All the work was completed in just 16 hours—44 hours earlier than expected.

“By mapping guaranteed loan data, not only are we able to visually tell the story of cost-effective, private-sector-led development, but we are opening ourselves up to new opportunities and potential collaboration,” said Ben Hubbard, director of USAID’s DCA.

Visualizing this data on a map can change the way USAID’s field missions plan for guarantees as well as where they invest development dollars to maximize their impact. By seeing where the loans are concentrated, USAID missions can better analyze whether the guarantees are fully reaching targeted regions.

“Mapping USAID-mobilized loans at the state level for each country allows USAID missions, for the first time, to analyze guarantees across country borders,” said John Steffenson, director of federal, civilian, global affairs, and nonprofits, Esri. “We are pleased to continue partnering with USAID through this project.” Making this data freely available on ArcGIS Online ensures that other donors can compare and even overlay their own guarantee data to identify opportunities to increase collaboration.

To view a Story Map application displaying the crowdsourced data and success stories, visit Esri Story Map. To make your own story map with the crowdsourced data and maps, visit Esri Story Map.

[Source: Esri press release]