Abstract: A system (106) and method (900) for processing and visualizing classified spatial data is disclosed. The system (106) is configured to receive classified spatial data from various input data sources (114). Further, visual identifiers are assigned to classes within the classified spatial data and image tiles are generated at multiple levels of details from the classified spatial data using the assigned visual identifiers. The system (106) is further configured to store the generated image tiles in a database (124) and render a set of image tiles from the database (124) on a user interface (200) based on a current viewport of a map. Figure.1B
WE CLAIM:
1. A method (900) for analyzing and visualizing geospatial data, wherein the
method (900) comprising steps of:
5 receiving (902), by a receiving unit (132), classified spatial data from a
plurality of input data sources (114);
assigning (904), by a processing unit (138), visual identifiers to one or
more classes within the classified spatial data;
generating (906), by the processing unit (138), one or more image tiles
10 at multiple levels of details from the classified spatial data using the assigned
visual identifiers;
storing (908), by the processing unit (138), the one or more generated
image tiles in a database (124); and
rendering (910), by the processing unit (138), a set of image tiles from
15 the one or more image tiles stored in the database (124) on a user interface
(200) based on a current viewport of a map.
2. The method (900) as claimed in claim 1, wherein the classified spatial data is
selected from one of, classified raster data or polygon based classified data.
20
3. The method (900) as claimed in claim 1, wherein assigning the visual
identifiers comprises:
retrieving, by the processing unit (138), a color index table (120) from
the database (124), wherein the color index table (138) comprises a predefined
25 mapping of the one or more classes to the corresponding visual identifiers;
determining, by the processing unit (138), whether each class in the
received classified spatial data is an existing class or a new class based on the
color index table (120);
42
retrieving, by the processing unit (138), previously mapped visual
identifiers from the color index table (120) when the classified spatial data
comprises the existing class; and
generating and assigning, by the processing unit (138), new visual
5 identifiers when the classified spatial data comprises the new class.
4. The method (900) as claimed in claim 1, wherein rendering the one or more
image tiles comprises:
identifying, by the processing unit (
| # | Name | Date |
|---|---|---|
| 1 | 202421022026-STATEMENT OF UNDERTAKING (FORM 3) [22-03-2024(online)].pdf | 2024-03-22 |
| 2 | 202421022026-PROVISIONAL SPECIFICATION [22-03-2024(online)].pdf | 2024-03-22 |
| 3 | 202421022026-FORM 1 [22-03-2024(online)].pdf | 2024-03-22 |
| 4 | 202421022026-DRAWINGS [22-03-2024(online)].pdf | 2024-03-22 |
| 5 | 202421022026-FORM-26 [27-03-2024(online)].pdf | 2024-03-27 |
| 6 | 202421022026-ORIGINAL UR 6(1A) FORM 26-120624.pdf | 2024-06-20 |
| 7 | 202421022026-Proof of Right [24-07-2024(online)].pdf | 2024-07-24 |
| 8 | 202421022026-ORIGINAL UR 6(1A) FORM 1-090824.pdf | 2024-08-16 |
| 9 | 202421022026-Power of Attorney [27-01-2025(online)].pdf | 2025-01-27 |
| 10 | 202421022026-FORM-5 [27-01-2025(online)].pdf | 2025-01-27 |
| 11 | 202421022026-DRAWING [27-01-2025(online)].pdf | 2025-01-27 |
| 12 | 202421022026-Covering Letter [27-01-2025(online)].pdf | 2025-01-27 |
| 13 | 202421022026-CORRESPONDENCE-OTHERS [27-01-2025(online)].pdf | 2025-01-27 |
| 14 | 202421022026-COMPLETE SPECIFICATION [27-01-2025(online)].pdf | 2025-01-27 |
| 15 | Abstract-1.jpg | 2025-03-21 |
| 16 | 202421022026-FORM 18 [18-07-2025(online)].pdf | 2025-07-18 |