KLMCS is committed to finding the best solutions for the client’s requirements while anticipating future needs, in a world of a rapidly expanding range of geospatial tools.
KLMCS provides commodities specializing in mobile data collection, services, and training for implementing and integrating solutions with GIS, GPS, and imagery.
Geographic Information Systems are designed to capture and analyse, geospatial data. Our GIS applications allow users to create interactive queries in order to analyse spatial information and display it in myriad ways to enhance location intelligence. Whether you are needing geospatial information for engineering, planning, management, transport/logistics, insurance, telecommunications, or other business, KLMCS has an array of products.
Geographic Information Systems can assist with the following:
With GIS, two- and three-dimensional characteristics of the Earth’s surface, subsurface, and atmosphere can be modelled to relate climate events. For example, a GIS can quickly generate a map with isopleth or contour lines that indicate differing amounts of rainfall. A two-dimensional contour map created from the surface modelling of rainfall point measurements may be overlaid and analysed with any other map in a GIS covering the same area. This GIS derived map can then provide additional information – such as the viability of water power potential as a renewable energy source.
By analysing topological relationships, spatial modelling can be performed between geometric entities to determine such things as adjacency, containment, and proximity.
Geometric networks are linear networks of objects that can be used to represent interconnected features, and to perform special spatial analysis on them. A geometric network is connected at junction points, similar to graphs in mathematics. Just like graphs, networks can have weight and flow, which can be used to represent road networks, public utility networks.
GIS hydrological models can provide a spatial element data that other hydrological models lack, adding variables such as slope, aspect and watershed. Terrain analysis is fundamental to hydrology, since water always flows downward. Slope and aspect can determine direction of surface runoff and flow accumulation.
Cartographic modelling is a process where several thematic layers are produced, processed, and analysed for simulation or optimization models.
By overlaying vectors data can be extracted and used in either vector or raster data analysis. Rather than combining the properties and features of both datasets, data extraction involves using a “clip” or “mask” to extract the features of one data set that fall within the spatial extent of another dataset.set.
Interpolation is the process by which a surface is created, usually a raster dataset, through the input of data collected at a number of sample points. Digital elevation models, triangulated irregular networks, edge-finding algorithms, Thiessen polygons, Fourier analysis, (weighted) moving averages, inverse distance weighting, kriging, spline, and trend surface analysis are all mathematical methods to produce interpolative data.
Geocoding is interpolating spatial locations from street addresses, ZIP Codes, parcel lots and other address locations.
Reverse geocoding is used in returning an estimated street address number as it relates to a given coordinate.
Multi-Criteria Decision Analysis
Multi-criteria decision analysis supports analysis of alternative spatial solutions, such as the most likely ecological habitat for restoration.
Data Output and Cartography
Cartography is the design and production of maps, or visual representations of spatial data.