Case Study: Displaying Your PostGIS Real Estate Database on GIS Cloud

GIS Cloud as a combination of tools that adapts to your workflow, infiltrates a various number of industries. We have been presenting you use cases that cover different fields of expertise so you can get a better overview of our user success stories and how they utilize and adapt our solutions.

This particular use case is covering a Real Estate GIS scenario, where our users Providence Group answered couple of questions on their experience in using GIS Cloud apps.

BACKGROUND

The Providence Group offers a wide variety of commercial real estate services including brokerage, property management, development and corporate services.
With a primary focus on retail, the company actively represents clients throughout the Carolinas and strives to provide an efficient, dedicated and innovative level of service and support to all of its customers.

CHALLENGE

GIS CLOUD: What was the biggest challenge when it came to achieving your projects?

PROVIDENCE: We wanted to display our own PostGIS database and file geodatabase on a cloud provider so that we would be able to put the mapping power and research in the hands of our clients. Also the Google Maps Tile Map Service (TMS) is crucial for us and hard to find in most of the other cloud GIS solution providers. That was one of the crucial features for our users.

Traffic Count Viewer: showing how many cars pass a given site a day

SOLUTION

GIS CLOUD: Can you describe us your project workflow once you deployed GC apps?

PROVIDENCE: Once we deployed GIS Cloud we have successfully been displaying our own PostGIS database and file geodatabase on GIS Cloud. Instead of constantly having to update static maps, the user can create their own maps from our White Labeled Map Portal and Map Viewer, which saves a lot of time.

PostGIS Retailer database: used for competition maps and research.

Additionally competition, demographic and different typed of analysis like buffering, heat maps, trade areas, drive times and so on, are all used for site selection and location analytics in commercial real estate. All of these can be created on your Desktop using Map Editor app.

Median Household Income overlaid on the Norfolk-Virginia Beach area.

RECOMMENDATION

GIS CLOUD: What would be 3 key features in your opinion that you would recommend GIS Cloud for?

PROVIDENCE:
Database Connectivity
The numerous Symbology Options
You can upload your own
GIS Cloud Arc Publisher Extension that saves symbology from your ESRI shapefiles
Tile Map Services



Originally published on GIS Cloud blog.

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Madhya Pradesh to release georeferencing database of land records

In a move that is going to be of immense help to the state’s farmers in designing cropping patterns and planning fertiliser usage, Madhya Pradesh will release comprehensive georeferencing database of its land records soon.

In a move that is going to be of immense help to the state’s farmers in designing cropping patterns and planning fertiliser usage, Madhya Pradesh will release comprehensive georeferencing database of its land records soon. It will be the second state after Gujarat to do so.

Policymakers would also find the facility handy, with digitised cadastral maps of the state to be superimposed with satellite images procured from Indian Space Research Organisation (Isro).

With the database in place, the state government, sources said, would be carrying out region-specific comprehensive planning and designing for various projects, covering sectors such as agriculture, roads, irrigation, water supply, etc. without having to visit the actual sites.

Cadastral map would include details of ownership, tenure, location, dimensions and at some time, even the value of land.

According to Hari Ranjan Rao, secretary, Department of Information Technology, Madhya Pradesh, various government departments, including revenue, forest and agriculture, had collectively worked to put together available individual maps and digitised land records and merged them with actual satellite images for creating the georeferencing database. This data would be ready for use in the next few weeks.

Rao said that three different sets of records — individual patta or map, land record digitisation and Isro satellite image captured real time — are to be placed on the single platform referred as georeference.

He said that the cost of generating such a data was not very high as most information was available with the government, adding the benefits would far outweigh the cost.

“The utility of the such database is manifold. The data would help farmers choose appropriate crops and in application of fertilsers on the basis of soil conditions,” Rao told FE.

In case of crop damages due to hailstorms, excessive or scanty rainfall, the government can specifically identify people in an area impacted by the nature of the calamity using this georeferencing data.

Rao said georeferencing data for 56,000 villages and 400-odd towns in the state would be available shortly.

Under the National Land Records Modernisation Programme launched in 2008, most of the states with the exception of few north-eastern states, have computerised all the land records, including mutations and digitised maps.

The Narendra Modi government’s Digital India programme, among other things, also aims at digitising land records, birth and death certificates, mark sheets and other such utilities.

According to an official with the department of land resources under the ministry of rural development, states like Gujarat, Haryana and West Bengal have progressed considerably in the field of modernisation of land records.

Haryana has integrated its land records system and the registration systems resulting in real time and up-to-date land records while West Bengal has integrated textual and the spatial data of the Record of Rights.

The term georeferencing is commonly used in the geographic information systems field to describe the process of associating a physical map with spatial locations.

Gujarat has digitised maps and has superimposed more than hundred GIS layers relating to various attributes such as wastelands, agriculture land, water bodies, power lines, roads etc. on these digitised maps.

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