META MIND GLOBAL CORPORATION
META MIND GLOBAL CORPORATION
EXPERTISE
EXPERTISE
GIS & REMOTE SENSING
MMGC is a market leader in GIS Mapping and Remote Sensing Technology. MMGC is fully equipped with both the technical and human resources to carry out an array of mapping requirements for Smart City, Telecommunication, Water & Sanitation, Environment & Energy, GIS & Remote Sensing, Agriculture & Rural Development projects.
MMGC is a market leader in GIS Mapping and Remote Sensing Technology. MMGC is fully equipped with both the technical and human resources to carry out an array of mapping requirements for Smart City, Telecommunication, Water & Sanitation, Environment & Energy, GIS & Remote Sensing, Agriculture & Rural Development projects.
MMGC operates a fulltime team of GIS experts, as well as a team of GIS field technicians, who are equipped with the latest GPS devices to ensure the highest level of accuracy.
MMGC operates a fulltime team of GIS experts, as well as a team of GIS field technicians, who are equipped with the latest GPS devices to ensure the highest level of accuracy.
MMGC provides GIS related services including but not limited to:
MMGC provides GIS related services including but not limited to:
GIS Mapping
GIS Mapping
Mapping technology allows you to layer data tied to geographic points. Rather than seeing just a few key features on a static map, GIS mapping allows you to view customizable combinations of data layers in a dynamic tool. GIS mapping helps you to visualize and identify patterns that are difficult to see if the data elements are in table format. It also helps to identify patterns that emerge when you view two or more datasets together.
Mapping technology allows you to layer data tied to geographic points. Rather than seeing just a few key features on a static map, GIS mapping allows you to view customizable combinations of data layers in a dynamic tool. GIS mapping helps you to visualize and identify patterns that are difficult to see if the data elements are in table format. It also helps to identify patterns that emerge when you view two or more datasets together.
Remote Sensing
Remote Sensing
Remote sensing is one of the methods commonly used for collecting physical data to be integrated into GIS. Remote sensors collect data from objects on the earth without any direct contact. They do this by detecting energy reflected from the earth and are typically mounted on satellites or aircraft.
Remote sensing is one of the methods commonly used for collecting physical data to be integrated into GIS. Remote sensors collect data from objects on the earth without any direct contact. They do this by detecting energy reflected from the earth and are typically mounted on satellites or aircraft.
Geo-database Preparation
Geo-database Preparation
GIS design involves organizing geographic information into a series of data themes—layers that can be integrated using geographic location. Geodatabase design begins by identifying the data themes to be used, then specifying the contents and representations of each thematic layer.
GIS design involves organizing geographic information into a series of data themes—layers that can be integrated using geographic location. Geodatabase design begins by identifying the data themes to be used, then specifying the contents and representations of each thematic layer.
Base Mapping
Base Mapping
A basemap is a layer that provides geographical context to the map and other dataset layers above it. Basemaps serve as a reference map on which you overlay data from layers and visualize geographic information. An individual basemap can be made of multiple features, raster, or web layers. Basemaps are the foundation for your maps and provide context for your work.
A basemap is a layer that provides geographical context to the map and other dataset layers above it. Basemaps serve as a reference map on which you overlay data from layers and visualize geographic information. An individual basemap can be made of multiple features, raster, or web layers. Basemaps are the foundation for your maps and provide context for your work.
Data Modeling
Data Modeling
A geographic data model, geospatial data model, or simply data model in the context of GIS, is a mathematical and digital structure for representing phenomena over the Earth. Generally, such data models represent various aspects of these phenomena by means of geographic data, including spatial locations, attributes, change over time, and identity.
A geographic data model, geospatial data model, or simply data model in the context of GIS, is a mathematical and digital structure for representing phenomena over the Earth. Generally, such data models represent various aspects of these phenomena by means of geographic data, including spatial locations, attributes, change over time, and identity.
Network Modeling
Network Modeling
There are several network models in GIS, such as river networks, utility networks and transportation or road networks. Among these, GIS road network data models are important for solving problems in urban areas such as transportation planning, retail market analysis, accessibility measurements, service allocation and more.
There are several network models in GIS, such as river networks, utility networks and transportation or road networks. Among these, GIS road network data models are important for solving problems in urban areas such as transportation planning, retail market analysis, accessibility measurements, service allocation and more.
Source Data Collection
Source Data Collection
Data capturing is most assigned in digitizing the data when entering the GIS system, while data collection is a process referring to the sources and information we gather, aimed at specific parameters, in order to insert them in GIS and create. Other sub-categories of data collection are data sampling and data transfer.
Data capturing is most assigned in digitizing the data when entering the GIS system, while data collection is a process referring to the sources and information we gather, aimed at specific parameters, in order to insert them in GIS and create. Other sub-categories of data collection are data sampling and data transfer.
Field Verification
Field Verification
Field Verification compares information in fields to information in an external database. If the information in the fields does not match the database, the fields can be marked or cleared. As a real-time process, Field Verification can be used in various stages of processing, including to update information during Revision.
Field Verification compares information in fields to information in an external database. If the information in the fields does not match the database, the fields can be marked or cleared. As a real-time process, Field Verification can be used in various stages of processing, including to update information during Revision.