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When we're approached for custom maps, it has become increasingly apparent that
many people are not even aware of the existence of "GIS", let alone what's
involved in getting out of it what you need! This page is intended to give the complete
novice a basic outline of the technology, why it exists, and what's required to make it
work. Browse through at your leisure, there are plenty of illustrations when the subject
matter gets a bit technical. Alternatively if you have a question about a specific aspect
of GIS, the links below will take to the appropriate section.
Why does it exist? Because as human beings,
nominally in control of our planet and therefore our own destiny, we have a keen interest
in knowing what things are where, and how they relate to neighbours both near and far.
Always has this been so. Virtually everything involved in daily life has two
characteristics:
What it is, from the most simple (for example a pencil on a desk), to
the most complex (a large modern city or a tract of forested land).
Where it is, from our most "simple" instinctive mental map
(under the phone directory on the desk by the window..), to the most mathematically
precise (the arrival of a guided missile at a single window in a building when launched
from hundreds of kilometres away..)
Because our lives and interactions grow ever more complex, GIS and related technology
have almost "evolved" as a means of allowing us to investigate and understand
the confusion. Quite simply, most (possibly all) human minds are incapable of processing
the enormous amount of "information" which defines the collective social and
natural environments beyond that of our own immediate experience.
GIS by definition is a computer based
technology. The fact that you can read this web site means you have access to the hardware
necessary to utilise GIS technology.
Skipping the historical origins and development of
GIS, modern personal computers have sufficient power to effectively run even the most
sophisticated of GIS software. Furthermore, GIS software is capable of addressing
"map" type problems from the most simple printout to the most complex
exploratory data analysis.
In effect there are no significant hardware or software limitations. Most restrictions
reside with data, but more about this later..
Historical note. Before the wide availability of powerful PCs and GIS
software, spatial problems were addressed using overlaid "tracing paper" maps
and coloured crayons. Old habits die hard, even in large hi-tech businesses!
A bit of patience is required at
this stage. The data which is used in a GIS needs to be understood from the basis of it's
structure. There are two major types of GIS data, so we'll look at each in turn.
The
first type is "discreet object" or vector data. These
are discreet digital representations having one of three forms, described below and
illustrated on the right:
Points. A single point occupying a precise single location in "map
space". Our example shows three town centres. Note the pairs of numbers alongside
each town; these are coordinate references, more on these later, but they underpin
everything we do in a GIS!
Lines. A series of straight lines, joined to their immediate neighbours
at the end of each section, at which point the next line segment can change direction. A
line has both direction and length in map space. The line unit of measure is linear units,
for example kilometres.
Areas. These have similar components to lines, but with the crucial
distinction that their end sections join each other. This give the resulting object not
only length and directions, but a measure of enclosed area in map space. Areas can be any
shape. The area unit of measure is square units, for example square kilometres.
Dumb image rasters are simply computer images such as those on a web
site. They're made of rows and columns of coloured cells, or "pixels" which
become clearly visible when we zoom in really close, as shown on the right: While these
look like the "maps" we encounter in daily life, they are simply images. Some
GIS' allow us to show them in real world map space, but their usefulness is usually
limited to providing a familiar look and feel background for our other types of data.
Notice how the apparent information quality decreases as we zoom in closer - this is an
artefact requiring conscious consideration during map production, particularly considering
the intended end uses of the map. It is always a trade-off between maintaining clarity at
higher zoom levels and rapidly increasing file size as we do so..
Intelligent rasters have a similar appearance, but an important
additional characteristic; they have a number or value
associated with each pixel.
While the "map" to the right might look like a slightly different version of
the "dumb" raster we first considered, within a GIS environment, we can click
with our mouse and receive information about the real world. This is shown in the enlarged
picture; we've only shown two such values (they represent height of the land surface above
sea level, in metres), but each pixel has its own value.
Elevation is a typical example of this type of data, because the real world feature it
represents varies continuously over the earth's surface. Another familiar example
is the satellite "picture" we see on daily TV weather reports.
Finally, all objects in a GIS have the capacity
to be linked to data describing something about the object. These data
"attributes" can be simple to complex, depending on what the data is to be used
for. Anyone familiar with spreadsheet or database formats would recognise a GIS attribute
table. A note of caution though; just because you're seeing data in a GIS doesn't always
mean it's either accurate or complete. To be able to use the results of GIS work (as with
any data manipulation process) you'll need to have a reasonable understanding of your data
and its origins. If in doubt, it's always a good idea to get a second opinion before you
get too far. You're always welcome to contact us at MapMakers
for a no-obligation discussion about data quality and suitability issues.
In today's world, most GIS software products
share many key features, run under a MS Windows operating system, and have at least a
basic Windows style graphical user interface.
While this certainly hasn't always been
the case, most GIS will offer some kind of functionality for the two basic types of
"map" or spatial data; discreet object types of data, and continuous or grided
sorts of data.
The major differences between products can be listed as follows:
Cost. Ranges from "free" to multi $10,000's per copy
Ease or complexity of use. Ranges from fairly easy (providing you read the documentation
of course!) to incomprehensively complex.
Functionality, from basic to comprehensive.
Flexibility to use a range of data formats. From comprehensive and accurate, to
frustratingly limited and endlessly frustrating.
There is
absolutely no direct relationship between how much you're asked to pay and whether the
product will meet your needs! Before making any purchase decisions, we suggest that you
consider purchasing one of our GIS Software Support
Policies. We have used mainstream GIS software for many years and accepted multi $,000
annual software costs as "normal". We now primarily use what in our experience
is the best engineered, most functionally comprehensive GIS application created to date,
and get this, it can be purchased for well under $AU400 (unlike virtually all other GIS
service providers, MapMakers Australia do not have any relationship, financial or
otherwise, with any commercial GIS software vendor). This insight alone makes our Support Policy worth the $450 cost - commonly deployed
GIS software will typically cost $3,000+. You don't need to pay it, so don't!
Historically, arcane computer operating systems
and command-line communications have severely restricted access to spatial technology.
Not
too long ago, there was constant debate in the GIS industry, concerning whether the
"discreet object" vector model, or the
"continuous grided" raster model were the
"best".
Common sense thankfully has prevailed, with a general acknowledgment that it's horses
for courses, and the two approaches need to be adopted in varying degrees for most
purposes. Regardless, most of the mainstream GIS software products began life favouring
one of the models over the other. As a result, most have maintained better development
paths for their original choices...
As far as functionality is concerned, most GIS software have good display and query
capabilities. Data editing functions are usually present, but are variable in their
ease-of-use. Analytical capabilities are more varied, although most will allow linking to
external database software, where more complex analysis can be performed if required.
Import and export is perhaps the most variable across the available software. Some of the
longer established products have very poor or convolute mechanisms for using data, other
than that in their own proprietary formats. With the entry of new GIS products, this
situation should change rapidly.
GIS data formats are more complex than many document types we're used to on a PC;
usually there are several separate files used to store information about a single GIS set
of objects. Managing GIS data can be very challenging, especially for certain older types
of software.
General Concepts
This is an introductory topic on geographic projections for users new to
GIS and mapping.
Geographic projections are a way of showing the curved surface of the
Earth on a flat surface like a piece of paper or a computer monitor.
For over two thousand years educated people have known that the Earth is round and have
realised as a matter of elementary geometry that any flat map showing the surface of our
curved Earth will in some way change the shape of what it portrays. For over two thousand
years geographers have been inventing ways of using flat maps to show the curved surface
of the Earth in ways that minimise such distortions.
Imagine we make a globe out of a flexible material with a world map painted onto the
material. Now, lets cut the material and try to flatten it. If youve ever
tried to flatten a deflated ball you know this is not possible to do without stretching
the flexible material in some areas and compressing it in others. If we deform the peeled
"skin" of our atlas globe in this way to make it flat we will end up changing
the shape of continents and other items illustrated in our world map.
There is no one way of projecting the curved surface of the Earth onto a flat sheet
that does not cause some distortion, and there is no one projection that is suitable for
all purposes for which people use maps. However, for virtually every usage there are
projections that minimise distortions of importance for that task. For example, if one
needs to measure areas in a flat map there are projections that will guarantee the area
contained by various shapes is correct even if the shapes of the objects shown appear
quite differently than they do on a globe. Other projections do a good job of showing
continents in a shape similar to that seen on a globe even though they do not allow for
accurate measurement of areas.
Note: We refer to the Earth as a sphere in this topic even though it is a slightly
flattened ellipsoid.
How Projections Work
Any shape that is curved in only one direction can be unrolled into a flat map without
distorting the appearance of objects drawn on it. For example if we take a cylinder and
cut it lengthwise we can unroll the cylinder into a flat map. The trick to any elementary
projection is to place the Earth within such a shape and to "project" lines out
from the Earth onto the shape to show where to draw the projected outlines of items on the
globe. We can then "unroll" the shape and see our projected map on a flat
surface.
The first and most obvious such projection to use is a simple cylindrical projection.
Place the Earth inside a big cylinder that touches the Equator and then transfer points on
the globe to the cylinder. The simplest way to do this is to imagine the cylinder is graph
paper with 360 boxes in circumference and 180 boxes up and down.
If we use the longitude and latitude coordinates in degrees of a place on the sphere
and transfer it to our cylindrical roll of graph paper we end up with a map like the
above. Since one point needs to be the centre of the unrolled cylinder, nearly universal
usage is to use the intersection of the Equator with the zero Meridian running through
Greenwich, England. We can then count degrees plus and minus 180 degrees in longitude and
plus and minus 90 degrees in latitude.
The presentation to the right is called the Geographic or Latitude / Longitude
projection. We can think of it as our default projection. It produces a good effect in
areas near the Equator, but results in immense distortion close to the poles.
There are other ways of transferring points from the surface of the globe onto an
enclosing cylinder. Most of these, such as the Mercator projection, use some mathematical
formula to alter the ratio between degrees of latitude on the globe and vertical
measurements on the cylinder. What they all have in common is that accuracy is good near
the Equator where the cylinder is very close to the globe. To a greater or lesser degree
all cylindrical projections centred on the Equator fall off in accuracy as distance from
the Equator increases.
If we wish to make maps of places along the Equator we could use a cylindrical
projection and just show those regions. What would be shown in those maps would be
relatively free of distortion. One problem with this is that the Equator for the most part
lies over water whereas the greatest demand for maps is in populated zones. A quick glance
at a world map shows that most populated zones occur in a North-South direction.
Turning the cylinder so that it is tangent to the Earth along a meridian (longitude
line) instead of tangent to the Equator results in what is called a transverse cylindrical
projection. We can now make local maps anywhere along the darker, North-South line of
tangency and if the maps are not too big they will be relatively free of distortion.
However, this only works along the line of tangency. If we pick a North-South line running
through Athens we can make maps all the way from Scandinavia down the length of Africa,
but any maps using this projection in North and South America would be hopelessly
distorted.
One possible solution is to use not one projection, but many transverse cylindrical
projections with the cylinder rotated slightly along the Equator. In fact, one scheme of
mapping the Earth called the Universal Transverse Mercator (UTM) plan
does just this. UTM maps the Earth with a transverse cylinder projection using 60
different lines, each of which is a standard "UTM Zone". By rotating the
cylinder in 60 steps (six degrees per step) UTM assures that all spots on the Earth will
be within 3 degrees of the centre, tangent line of one of the 60 cylindrical projections.
(The Gauss Kruger system is a European system akin to UTM that also uses a transverse
cylinder rotated in six degree steps).
To map any spot on Earth in UTM, one picks the UTM Zone centreline that is closest to
it and then makes a map using that cylindrical projection.
The illustration above shows a small section of the earth near the tangent line
projected onto the cylinder, and then the cylinder being unrolled into a flat sheet. If we
want to save the X,Y locations of points on our flat sheet we can now measure them as
though the flat sheet were graph paper and use the resulting coordinates in a digital,
flat map.
The above illustration shows a key concept that often proves confusing to GIS
newcomers: although "unprojected" data about locations on the Earth are
specified in degrees, all projected maps specify the coordinates of the objects on them
using X,Y coordinates using meters, feet or other linear measures. These coordinates are
computed relative to some origin on the flat sheet established by the projection in use.
Computer files that contain projected maps therefore contain coordinates like
44030976,38403088
44030984,38403080
44030900,38403077
and not longitude,latitude coordinate numbers such as
-110.3484, 44.2856
-110.3463, 44.2889
-110.3511, 44.2902
Latitude,longitude coordinates are normally in decimal degrees as above, while the
coordinate numbers in projected files are most often meters in X and Y directions from
some origin known to the projection. It is as if the green sheet in the illustration were
an enormous piece of graph paper on which the map is drawn "full size" and then
measured off in meters.
In a well run GIS system the internal coordinates of projected maps may be hidden from
the user because the GIS software will automatically translate the internal map drawing
coordinates into Latitude/Longitude values on the fly. Manifold, for example, will show
cursor position in a projected map view using Latitude and Longitude values. What is going
on is that Manifold is automatically translating internal projected coordinates like
44030984,38403080 into the equivalent Longitude and Latitude values.
Conic Projections
The main problem with cylindrical projections is that they do a poor job of minimising
distortion except for very close to the line of tangency. They are a poor choice for
mapping large countries (such as the US or Russia) that have great East-West extents.
A better choice for mapping such regions is a conic projection, which projects shapes
from the Earths sphere onto a cone. Cones, of course, can be unrolled into a flat
sheet without any deformation. Locations near the line where the cone is tangent to the
Earth will be relatively free of distortion. By using taller cones we can move the line of
tangency nearer to the Equator and by using fatter, more open cones we can move the line
of tangency closer to the pole.
We can see the practical effect of a conic projection by
considering a map of North America shown in the Latitude / Longitude projection. This is
an "unprojection" that simply takes each coordinate in degrees and plots it
using equal sized X and Y degrees at all locations:
The geographic cylindrical projection greatly overstates the size of
northern regions.
Using a conic projection, we can transfer the shape of North America to the cone (in
the region marked in red on the cone) and then unroll the cone to make a flat map. That
flat map can then be used as "graph paper" to measure off coordinate locations
with which we could build a flat, digital map.
The resulting flat map provides a much better impression of the true shape of North
America. It is interesting to note that since most schoolchildren are taught geography
from maps using cylindrical projections that greatly distort Northern regions, the average
person thinks Alaska and Greenland are many times larger than they really are. The above
conic projection uses a tangent line cutting through the "lower 48" US states
and so optimises their appearance while understating the apparent size of Alaska.
When both are viewed in Lambert Conformal Conic projection using parameters midway
between the "lower 48" and Alaska and Alaska is moved over the "lower
48" US and rotated to preserve apparent meridian angles, it's clear that Alaska is
very large, but not as large as is commonly thought.
Azimuthal Projections
Azimuthal projections show one hemisphere of the Earth at a time by projecting lines
upward from the globe onto a flat disk tangent to the globe at one point.
By centring the disk over any particular point on the Earth, one can achieve a view of
the Earth as it appears from space from high over that point. The Orthographic projection
is the classic "view from space" azimuthal projection of the Earth.
Projections and Projection Parameters
Virtually all projections in common use fall into one of the above three categories.
They are either cylindrical (regular or transverse), conic or azimuthal projections as
customised by slightly different projection parameters. Projection parameters are options
in how the projection is arranged.
For example, the Orthographic projection can be centred on any point on Earth by
specifying the latitude and longitude of the desired central point. Conic projections may
be customised by specifying the parallel of latitude at which the cone should be tangent.
Specifying a projection together with various optional parameters will drive the
mathematical conversion of longitude,latitude degree coordinates into the numbers used
within the projected coordinate system. When we encounter a computer file with projected
data numbers such as
44030976,38403088
44030984,38403080
44030900,38403077
we will not be able to make geographic sense of these number unless we known in
which projection with which optional parameters they are intended to be used.
Some GIS formats are "smart" and automatically save the projection parameters
in use together with the data. During import of drawings from such formats, a good GIS
will fetch all necessary parameters from such "smart" formats automatically and
will load the coordinates properties for that drawing with the correct parameters
necessary to use the data.
When importing projected drawings from "dumb" GIS formats that do not save
the projection information with the data we will need to know what projection and
parameters should be used with that drawing. We will then have to enter this information
manually into that drawing's coordinate properties so it can be used as intended.
False Easting and False Northing
Once a map is constructed using a given projection, the map is a flat surface.
Distances on that flat surface may be measured as X and Y rectangular coordinates, with
the X coordinate being the distance to the right of the vertical line passing through the
origin or the centre of a projection. A negative X coordinate represents distance to the
left. In practise a false X or false easting is frequently added to all values of X to
eliminate negative numbers.
Likewise, the Y rectangular coordinate is the distance above the horizontal line
passing through the origin or centre of a projection, with negative Y being the distance
below. In practise, a false Y or false northing is frequently added to all values of Y to
eliminate negative numbers.
The use of false easting and false northing is a relic of days when map projection
computations were done by hand, so that computation with negative numbers was less
convenient. In modern times we let computers do all the computational drudgework so false
easting and northing are no longer essential. However, they continue to live on within
projected digital maps created using older methods.
A Historical
Note on the Round Earth
School children are often wrongly taught that Columbus
sailed Westward to China to prove that the Earth is round. Once launched on his journey
Columbus is often portrayed as heroically pressing on despite the opposition of his
sailors, who feared their little fleet would fall off the edge of a flat Earth. That is
almost the exact opposite of the truth.
Most educated people in Columbus's day knew the Earth was round. In fact, they not only
knew the Earth was round they knew the size of the Earth as well. Almost everyone except
Columbus accepted the estimate for the radius of the round Earth computed by Eratosthenes
of Cyrene (276-195 B.C.). Eratosthenes figured the Earth's radius to be about 6267
kilometres, a figure remarkably close to the modern mean of about 6371 kilometres. In the
1490's educated people had known for over one thousand five hundred years the actual size
of the round Earth. Since ancient days cartographers had even created projections to deal
with the representation of a round earth on flat maps.
Even many uneducated people knew the Earth was round. Among uneducated
people sailors especially believed the Earth to be round because of the frequent
observation at sea that tall points such as mountains come into view above the horizon as
the distance to an objective becomes closer. Many "round Earth" visual effects
incompatible with a flat Earth are easily seen by the human eye at sea.
Columbus met much opposition at Court to his plan precisely because people knew the
Earth was a very large sphere. The ships of Columbus's day were so slow that they could
not be loaded with enough food and water to voyage directly to China westward from Europe.
Without the then-unknown continents of North and South America to use as re-supply points
the direct voyage would be so long that the crew would die before making landfall.
Columbus based his plans for his voyage on the argument that the Earth is smaller than
it truly is. Educated people were unimpressed with what they regarded as his chain of
wishful-thinking assumptions that "proved" Eratosthenes was wrong and that a
Westward voyage was just barely feasible. When Columbus launched across the Atlantic his
sailors were fearful that in the event his estimate of the Earth's size was wrong and
everyone else was right they would expire of thirst and starvation.
As it turns out Eratosthenes was right and Columbus was wrong about the size of the
Earth. Columbus simply had the good fortune of rediscovering a New World before he and his
crew died proving the true size of the round Earth. In all fairness it should be pointed
out that despite his flawed belief in a small world Columbus was a master admiral of
unparalleled skill, intelligence and personal courage. A failed and quarrelsome
administrator on land, Columbus is indisputably one of the greatest leaders who ever took
to sea. He is alone among the early voyagers in executing and surviving four successful
voyages to the New World.
Much of this
material is taken word-for-word from Map Projections Used by the U.S. Geological Survey,
Geological Survey Bulletin 1532, Second Edition, John P. Snyder, 1982. However, it has
been liberally revised by the support team at CDA so any errors that have been introduced
should not be attributed to Snyder. The material is reproduced here with
the kind permission of CDA.
Terminology about "scale" can be a bit confusing!
Essentially we can think of maps and map data as being either:
Large scale, or
Small scale.
Seems simple enough? Well it is until we start to think about what we're dealing with.
Let's look at an example.
Start by imagining a typical paper map. It is most likely quite large, say 1 metre by
0.7 metres. The same size paper map can be used to show anything from a map of the entire
world, to the floor plan of a house. The size of the map is the same, the scale of what is
shown is different.
The map of the world shows a very large area, however the scale it is
shown at must be very small in order to fit the entire world on - say 1
unit of measure on the paper represents 20,000,000 units of measure in the real world.
This is said to be a small scale map.
The map of the house plan shows a very small part of world, so the
scale on the map is very large - say 1 unit of measure on the paper represents 50 units of
measure in the real world. This is said to be a large scale map.
In GIS, we can seamlessly use map data of any variation in scale. However it is
important to consider that if we do combine different data captured at different scales,
we can scale down from large scale to small scale, but we can't go the other way. Using
the extreme example above, we could combine millions of house plans and come up with a map
of the world (it would look a bit strange, but it would be recognisable as a map of the
world nevertheless). But, no matter how hard we tried, we couldn't take our 1:20,000,000
scale world map data and have any hope of zooming in to see even the biggest home!
This map is reproduced at a scale of 1:600,000. It
consists of coastline data at three different scales. While these can be discerned in
places by their different colours, at this scale they all give a reasonable representation
of the island.
In the second map below, we have zoomed in to a scale of 1:10,000
At this scale we can see clearly how representation of the same feature changes with
different scales of data. If we wanted to have a detailed look at this island for example,
we could probably use the 1:100,000 data,
almost certainly the 1:25,000 data, but not
the 1:5,000,000 data.
Historically,
most maps have been prepared by government agencies. There are several reasons for this;
land division and administration including the raising of taxes, to promote and facilitate
exploration and economic development, and for military planning purposes. While we are
used to paying only a few dollars for a paper map from a government agency, the actual
cost of producing maps is enormous, and only governments have the revenue base to
undertake the tasks.
With the advent of GIS, (essentially since the early 1980's) existing maps have been
converted into computer based digital format, and new maps are created using GIS.
Governments have been the largest single user of GIS technology for this reason. Most maps
available as paper products are now available in digital form.
Increasingly, private sector organisations are creating map data in GIS form (like
ourselves), however the high costs involved will mean governments remain the primary
source of GIS data.
Satellite imagery is increasingly available, and lends itself readily to use in GIS.
Development and deployment of satellites is very expensive, so too is the imagery captured
(in fact most of the satellite imagery sent back to earth over the past thirty years has
never been looked at, it is simply too expensive).
As indicated, we are used to paying only a few dollars
for a map. It comes as a surprise (quite often a horrified shock!) to many new GIS users
to learn that the GIS equivalent to the ten dollar map can cost many hundreds of dollars!
Until the early 1990's, GIS software required expensive computers in order to function.
Only large companies and government agencies had the capital to afford GIS. Government
mapping agencies knew this and priced digital data according to the perceived
"ability" of potential buyers to pay; in other words it got stuck with a big
dollar ticket!
Regardless of what we may think of Bill Gates' empire, we have Microsoft to thank for
making high powered computers available and affordable for the masses. GIS is now
available to everyone. As a result, many (and we hope eventually all) governments are
reviewing their prices downwards. In reality, the tax payers of the world already have
paid for all government generated GIS data, and it is our strong belief at MapMakers
Australia that all government spatial data should be made freely available at no cost
through the Internet via ftp. The USA leads the world in its generally open and cost-free
policies on spatial data access. However for those with interests outside the USA, we will
have to put up with government data charges for some time yet. We suggest you lobby your
federal and state members for access to the data you've already paid for..
This is a light-hearted look at some of the
common, confusing, and often problematic assumptions newcomers to using GIS encounter.
I've bought the GIS software, so I'm ready to map the world!
Not really! In the package will be a DVD or CD, and maybe an instruction manual (or
several). That's it. Now you need to learn about coordinates, projections, new types of
data on your PC, AND get some data into your system which is relevant to the problems you
wish to address in getting to this stage. You may want to have a look at the topic on our GIS software support page if getting up-and-running is
your main objective.
You may well be prepared for this as an individual, however if you're working in an
organisation new to the technology, your "bean counting" department will think,
having written out a (possibly sizeable) cheque, the
organisation is now in the GIS league! Reality is the up-front purchase of the software is
a small initial investment. The real value, and also cost of an effective GIS is
populating it with the data required.
My new software was selected as being a "total solution" product, so I won't
need to budget for anything else in the future.
If you're lucky, and you fully scoped your needs before deciding. Often though the base
GIS product will require additional "bolt-on" components to give it a more
comprehensive functionality. The degree to which this may be true is highly variable, but
some "optional extras" can cost as much or more than the core GIS software
itself.
Technology shows no sign of slowing down. Software companies constantly modify their
products to take advantage of hardware and operating system advances. For most GIS
software there will a "new" version every 1 to 2 years. To stay up-to-date, you
may need to consider budgeting for a periodic "upgrade cost". While not as
expensive as a new copy of your GIS software, upgrade costs are usually in the vicinity of
40-60% the cost of a whole new copy! Don't even consider buying into that old game! With
the arrival of high tech and affordable GIS software this pattern has changed. Real
functional updates are more frequent than has been the case with legacy GIS vendors such
as ESRI or MapInfo, and are available at little or no additional cost. Consider buying one
of our Support Policies and share the insights (and
huge dollar savings) MapMakers have been enjoying!
We have a CAD department, and they do maps, so we don't need a GIS.
In many cases this is true, but if the organisation deals with neighbours, or has assets
located in the real world, it is likely that some form of GIS will be needed.
CAD "drawings" normally are "lost in space". While their components
are correctly located relative to each other, they usually don't possess real world
coordinates. While they can be registered to real world coordinates for export and
subsequent use in a GIS, capacity to analyse in a CAD environment usually doesn't exist.
I'm an individual, or a small business - I can't possibly justify the up front cost of
GIS software.
Until quite recently you'd have probably been right. Today there are some exceptionally
capable products available at very competitive prices. Do yourself a favour and buy a Support Policy. We undertake essentially all our work
using the best GIS on the market, it is unparalleled in specification and performance and
available for under US$300. Often people ask us "..how can it be any good if it is so
cheap?" The answer is simply that the other major GIS software applications are
grossly overpriced, typically charging several thousand dollars for their products. A lot
of that is to pay for flashy CBD offices and sales representatives in suits with
briefcases full of promises. It is nice to be able to say for once, that you don't
necessarily get what you pay for!
My government land agency or businesses I deal with, use a particular GIS product, so I
feel I need to use the same so that I can use the data they supply and use.
Not at all. Governments and professional businesses should be able to supply and utilise
data in all of the most common formats. If they tell you they can't or don't, they're
being lazy! The days of spatial data being locked up in proprietary formats are for most
of us, just a fading bad memory.
Please note that most of the images on our site have been generated primarily
for hard copy, and therefore might not display optimally on your terminal.